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Read the Signs: Detecting Early Warning Signals of Interreligious Conflict

Department of Religious Studies, University of Virginia, Charlottesville, VA 22903, USA
Author to whom correspondence should be addressed.
Religions 2022, 13(4), 329;
Received: 10 February 2022 / Revised: 14 March 2022 / Accepted: 28 March 2022 / Published: 6 April 2022
(This article belongs to the Special Issue Religious Conflict and Peacebuilding: Advances in the Field)


Building on recent directions in religion-related social and political science, our essay addresses the need for location-specific and religion-specific scientific research that might contribute directly to local and regional interreligious peacemaking. Over the past 11 years, our US–Pakistani research team has conducted research of this kind. We have developed a social scientific method for diagnosing the probable near-future behavior of religious stakeholder groups toward other groups. By integrating features of ethnography, linguistics, and semiotics, the method enables researchers to read a range of ethno-linguistic signals that appear uniquely in the discourses of religious groups. Examining the results, we observe, firstly, that our religion and location-specific science identifies features of religious group behavior that are not evident in broader social scientific studies of religion and conflict. We observe, secondly, that our science integrates constative and performative elements: it seeks facts, and it serves a purpose. We conclude that strictly constative fact-driven sciences may fail to detect certain crucial features of religious stakeholder group behavior.

1. Introduction

For most government agencies and foreign policy think tanks, religion is not a unique subject for scientific inquiry.1 As we observed a decade ago while working at the DOS, the behavior of religious groups tends to be subsumed under broader categories of social and political behavior, and it is examined with the same methods of social and political science that are applied to any social groups.2 Foreign policy studies are changing, however. Over the past two decades, a growing library of publications has been urging governments and think tanks to attend, in more focused ways, to the role of religion and religious groups in violent political conflict, whether on the side of peacemaking or war making (among the early sources are Johnston and Sampson 1994; Lederach 1995; Appleby 2000; and among the more recent are Powers 2010; Hayward 2012; Cole et al. 2017). Prompted by a steady rise in religion-related violence, and influenced, to some degree, by this literature, government agencies have, in the last decade, sponsored extensive scientific research on the methods of CVE (countering violent extremism) (Ribeiro et al. 2016; Azizan and Aziz 2017; Mandaville and Nozell 2017). There has also been a significant expansion of social scientific research into various features of religious behavior, including tendencies toward peaceful or conflictual behavior (Hasenclever and Rittberger 2000; Flere et al. 2007; Rothbart 2020). Building on these emergent directions in religion-related social and political science, our essay addresses a need for location-specific and religion-specific scientific research that might contribute directly to local and regional interreligious peacemaking. Over the past 11 years, our US–Pakistani research team has conducted research of this kind. The results demonstrate that a religion- and location-specific science identifies features of religious group behavior that fall outside the domain of broader social scientific research. We have introduced our scientific tools and field-testing resultsin recent and forthcoming publications (Ochs et al. 2019; Ochs 2019a; Ochs 2022).
Our goal, in this essay, is reflective: to identify features of our scientific practice that are not evident in broader social scientific studies of religion and conflict, and to evaluate the differences. Applying terms introduced by J.L. Austin (Austin 1962), we devote much of our attention to the difference between “constative” and “performative” utterances (saying and doing). Constative utterances make true or false claims, and typically descriptive ones. Performative utterances are actions that are performed by saying something in some way. Applying these terms outside of the context of Austin’s work, we characterize the broader social sciences as constative and our science as both constative and performative. We argue that information about certain features of religious stakeholder group behavior may be occluded by strictly constative sciences but may be disclosed in a partly performative science.
By way of introduction, our team has developed a social scientific method for diagnosing the probable near-future behavior of religious stakeholder groups toward other groups: a method we label value predicate analysis (VPA). By integrating features of ethnography, linguistics, and semiotics, the method enables researchers to read a range of ethno-linguistic signals that appear uniquely in the discourses of religious groups. Examined through manual field observations, and re-examined by way of natural language processing tools, the signals are consistently associated with up to nine different types of near-future group behavior, including linguistic and dispositional behaviors. After five years of field testing in regions of high tension and verbal, but nonlethal, conflict, the team constructed several diagnostic tools that are of potential use to peacekeepers and peacemakers in regions of conflict (Ochs et al. 2019; Ochs 2019a; Ochs 2022)3. The team’s current effort is to share its most refined and reliable diagnostic tools with government, the United Nations, and nongovernmental agencies, who might employ these tools to help identify and ameliorate settings of imminent violent conflict among religious groups.
Through the course of this essay, we sample distinctive features of our ethnolinguistic science as a science of reading the signs: ethnolinguistic signals that appear to be unique to the discourses of religious groups. We hypothesize that, while the signs may be identified in many aspects of religious group behavior, their measurable force is markedly greater in settings of tension and of conflict. In order to demonstrate the possibility of a science, we looked for evidence of the simplest correlation between a signal and the information it might offer. Through trial and error, we discovered a potential signal, and methods of observing it in the field. We refined and field-tested the method and employed it to collect and analyze field data.
The essay has four sections. The first offers an overview of our diagnostic tool and its field tests. The second section offers a semiotic account of VPA as a performative science. The third section identifies the strictly functional and practical goal of this science. The fourth section examines several implications of our projects for nurturing performative sciences of religion.

2. The VPA Diagnostic Tool

VPA focuses on speech and writing (teachings, speeches, sermons, essays) by teachers or cultural influencers in small religious or “value-centered” groups.4 Within this speech and writing, we discovered and field-tested a surprisingly consistent quantitative signal of each group’s behavioral tendencies toward other groups: the average number of different meanings that the groups’ members tended to associate with each value term embedded in their teacher/influencers’ value judgments. We labeled this average the “semantic range” of value meanings for a given group at a given time. For example, one focus group associated the Urdu term, “love for the Prophet” (rasūl kī muḥabbat), with a range of two meanings: “obeying prophetic commandments”, or “not following western values and life-styles”. Another group associated the term with a range of five meanings, including: “cultivating an intimacy with the Prophet through ẕikr (remembrance)”; “praying special prayers to God for strengthening the bond with the Prophet”; and more.5 Over years of research in different field settings in South Asia and the United States, we discovered probable correlations between a group’s average semantic range and that group’s probable behavioral dispositions toward other groups in its proximity.

Methods and Results of Field Research and Testing

Our research methods include ethnolinguistic fieldwork and text mining. To establish semantic range scales, we invited members of different religious and value-centered communities to join small focus groups. We trained the focus group members to serve as local researchers, who observed weekly sermons and examined related written documents. Individual researchers identified the value judgments and evaluated the semantic ranges of the values. The VPA team members and employees then collected and analyzed the researcher reports. We subsequently tested and retested our field results through several methods, including further data collection by local researchers; deploying nonspecialists to observe/evaluate religious group speech and writing; and deploying specialists to text mine extensive online religious-group documents. VPA specialists generated quantitative analyses of all the field reports, and they measured the degrees of change in the numbers of meanings that speakers assigned to key value terms or phrases. Another way was to text mine large online caches of religious teachings by different religious groups, and to add these semantic range measurements to measurements that were gathered in the field. After collecting large sets of measurements, VPA analysts calculated the average ranges of meaning for specific religious subgroups for specific times and locations.
Each group that we examined displayed a consistent semantic range between 1 and 9, which means that a group would tend, on average, to associate from 1 to 9 meanings per value term. We discovered, furthermore, that each semantic range number corresponded to a class of probable group dispositions. We observed, for example, that a group whose members consistently associated only 1 meaning with each value term also tended to display the following group tendencies: (a) A highly reduced value vocabulary of only 6 to 8 value terms; (b) “Linguistic insensitivity”, which is our label for a group tendency to preserve a single meaning for each value term despite radical changes in the group’s social or environmental conditions; (c) A tendency to prohibit, “interpretive license”, which is our term for the individual members’ freedom to attribute any degree of polyvalence to the group’s value terms; and (d) A tendency to display some degree of aggression toward other groups (from verbal aggression to militant action). By way of contrast, we observed that groups that displayed an average semantic range of 4 also tended to display: (a) An average value vocabulary from 60 to 90 terms; (b) “Linguistic sensitivity”, which is a group tendency to adjust the meanings of value terms in response to changing environmental or social conditions; (d) A capacity to interact with neighboring groups; and (e) Despite initial cautiousness, a capacity to join in intergroup dialogue or diplomacy should conditions call for this. Finally, we observed that groups that display an average semantic range of 8 also tended to display: (a) A highly reduced value vocabulary, from 6-10 terms; (b) “Extreme linguistic sensitivity”, which is a group tendency to over-react to changing environmental conditions; (c) “Excessive interpretive license”, which encourages highly individuated semantic choices; (c) Tendencies toward community-wide linguistic dysfunction and social segmentation; and (d) No evidence of a community-wide policy or shared tendencies toward other groups.
Analytic Vocabulary and Methods. VPA focuses on certain verbal symptoms that correlate reasonably well with testable signs of group behavioral tendencies. We apply the label, “value term”, to verbal indices of group behavioral tendencies. Value terms are introduced within the languages that are spoken by a group, and they are defined through indigenous usage. We define the term, “value”, operationally, as referring to a set of behavioral preferences within a group. We identify value judgments as elements in speech that assert some value of some subject “in the world” (independent of the speech itself), and that thereby recommend some set of actions in relation to this subject. “Religious groups” are characterized as value-centered groups that practice an exceptional degree of reflection on group values. We classify values as “religious” when indigenous groups recommend such a classification. Operationally, VPA examines religious value terms only as they appear in active religious value judgments. Value terms are examined only if they appear in the predicates of such value judgments; this excludes value terms that appear as the subjects of judgments, or as members of lists of value terms.
Illustrations. We offer only sample illustrations of our field results because we have published these elsewhere, and because the focus of this essay is on our scientific paradigm rather than on the fieldwork itself. Our primary field research and testing took place in three stages.
(Stage 1) Between 2013 and 2015, a UVA–Pakistani research team conducted two years of field research with three focus groups: students from a traditional Sunni seminary; traditional students studying at a Pakistani liberal arts university; and traditional students studying at an engineering school. Trained by our PhD field managers, focus group members served both as subjects of the study and as analysts. As subjects, each individual submitted biweekly summaries of what they took to be the meaning of each value predicate in selected sermons and writings by religious teachers. As analysts, they calculated their group’s average semantic range (SRA) and submitted the results to our research team at UVA. After examining over 600 biweekly reports by the three groups, the team constructed our initial model of SRA’s nine categories of semantic range.
As indicated in Figure 1, Figure 2 and Figure 3, changes in value-term usage are measured as changes in semantic range, which refers to the technical measures of the likelihood that speakers and listeners will assign or tolerate any one of nine degrees of change in the character of value-term usage. The following three figures compare semantic range averages from focus groups in three different but closely related religious groups (Ochs et al. 2019).
The graph indicates that student groups from a traditional seminary tended to associate significant value terms with from 4 to 6 different meanings. VPA analysts associate a semantic range of 4–6 with the linguistic flexibility of highly communicative social groups whose languages adapt well to changing social and natural environments, and that display modest openness toward exploring relations with other groups (at least within the broader range of a given religious tradition). This test result also strengthens our initial hypothesis that groups that are attracted to intensive traditional religious text study tend also to avoid aggressive intergroup interaction.
The graph indicates that student groups from a liberal arts university tended to associate significant value terms with from 2.25 to 4 different meanings, which is indicative of a narrower linguistic flexibility than was evident in a traditional seminary (Figure 1). VPA analysts associate such flexibility with social groups whose languages do not adapt as well to changing environments as do those that are higher on the scale. The graph also shows a greater variation within the groups, which is indicative of lower social cohesion than was observed in the seminary and greater tendencies towards autonomous value judgments by individual group members. These results strengthen our initial hypothesis that westernization (exemplified in liberal arts education) tends, on the one hand, to reduce the social and behavioral cohesion of religious groups and, on the other hand, to increase the linguistic/conceptual rigidity of individual group members’ value judgments.
The graph indicates that student groups with mixed cultural and intellectual socialization tended to associate significant value terms with from 1.75 to 3.6 different meanings. The results introduced us to a category about which we had not yet formulated hypotheses: the linguistic/behavioral tendencies of groups whose members had received rigorous training in both a particular religious tradition and a particular techno-scientific practice. After comparing the graphs, we hypothesized that techno-scientific training might decrease, rather than increase, the relative linguistic flexibility of members of traditional religious groups.
(Stage 2). Between 2016 and 2018, researchers at the University of Virginia retested and refined the initial model of SRA. Fifteen focus groups were engaged for three years in Virginia churches, mosques, and synagogues to test the likelihood that parishioners’ SRAs would display the 9 pt. range of the Pakistani groups. As illustrated in Table 1, the 9 pt. range was confirmed in over 600 reports by student researchers and analysts. During Stage 2, the data science subgroup of our VPA team spent three years refining natural language processing tools (NLP) that can approximate our manual VPA analyses of texts.6 NLP codes remain binary, but machine learning technologies enable data scientists to approximate the results of performative sciences that require manual inputs.7 Training their text-mining program with our VPA field results, the data group discovered that performative programs outperformed nonperformative (in our terms, constative) programs, such as semantic and sentiment analyses (Venuti et al. 2016, p. 354).8 After running the most successful program (context vector analysis) on large online caches of sermons from a range of religious groups, the group also observed that:
  • Their work “has produced good predictions of flexibility of keywords in religious discourse. [This work] has significantly extended [the results of VPA fieldwork] … and shown that automated systems can be developed to assist in modeling the language flexibility of religious discourse” (Venuti et al. 2016, p. 354);
  • “Test results show that text mining algorithms can accurately estimate the language flexibility of religious discourse. These results provide evidence that the performative characteristics of language better predict tolerance level than the semantic characteristics of language” (Venuti et al. 2016, p. 350);
  • “The performative signals, judgments, and pronoun usage of different groups have shown to predict a group’s linguistic rigidity score with a high degree of accuracy, when using the RCP team’s manual process of document scoring as ground truth. Furthermore, these signals continue to show predictive power when applied to non-religious ideological groups, extending the application of this research far beyond religious groups” (Green et al. 2017, p. 363).
The data team’s findings significantly strengthen the primary claims of VPA: that its results are coherent and well-ordered; that its diagnostic methods are reproducible and potentially applicable to a larger domain of group behaviors; and that it is both a performative and constative science, with performative methods that identify linguistic phenomena that are not evident in constative studies.9 We reproduce one illustration in Table 1.
Table 1 summarizes the text-mining data that was gathered from online caches of 10 groups. Note differences, for example, between text caches typical of Liberal Judaism (groups that explore contemporary directions in modern Jewish thought and practice) versus those that are typical of Rabbinic Judaism (groups that observe traditional practices of Talmudic study). Text measurements of Rabbinic Judaism displayed the highest degree of consistency of any of our subjects. Liberal Judaism displayed a fairly high degree of variability. This difference strengthens an additional hypothesis of ours: that, contrary to popular opinion, as well as to most foreign policy predictions, groups that are devoted to traditional disciplines of sacred text study tend to display the most balanced practices of linguistic flexibility. Examples are students of Rabbinic Judaism, and Pakistani and Muslim seminarians.
(Stage 3) Between 2018 and 2021, a UVA–Pakistani research team formed 10 focus groups that met twice-monthly for 36 months, and that represented a broad sample of professional and religious life in a major Pakistani city: women’s groups, lawyers, journalists, university students, and civil servants, as well as seminarians from four different Sunni and Shia sects.10 The purpose of this project was to simulate conflict among the different groups and thereby to provide a context for measuring possible correlations between intergroup tension and change in SRA. As we report in an essay on simulation methods (in progress), the results were consistent (to a reasonable degree of probability) with our overall prediction: that the degree of intergroup tension corresponds to the degree of reduction in SRA.11

3. A Science of Reading the Signs

This section introduces a method for identifying how we read the signs of probable emergent religious conflict. We adopt a conventional definition of science as the systematic study of the natural and social worlds, as guided by well-formed field-testable hypotheses, and by independently verifiable methods of observation, measurement, data collection, and critical evaluation.
Constative science. Constative utterances make true or false claims, typically descriptive claims. Performative utterances are actions in words, such as the utterance, “I apologize”, where the purpose of the utterance is to effect worldly relations, which, in this case, is social relations.12 Austin illustrates: “The truth of the constative utterance ‘he is running’ depends on his being running” (Austin 1962, p. 47). Like Aristotle, the author of such an utterance presumes a direct correspondence between the utterance and something that exists in the world. The performative utterance, “I apologize”, is true if its intended effects—in this case, on the utterer and on the addressee—occur (for example, if both display feelings of relief). Avoiding excessive complexity, we draw a simplified functional distinction between constative science and performative science. We argue that a full science of religion-in-conflict would be a performative rather than only a constative science.
VPA includes constative dimensions, which include empirical accounts of the primary claims of foreign policy analysts, of writings that urge the DOS and the DOD to examine religious group behavior in its own terms, of value theorists whose work informs ours, and of methods of training local researchers in the field, and of collecting researcher reports, of text mining, of analyzing semantic range data, and of testing and refining SRA measurements. VPA research also draws on an extensive library of constative studies in social and political science, including statistical studies (for example, Demmrich and Huber 2019; Poorjebelli et al. 2014). The distinguishing feature of VPA is not that it omits constative inquiry, but that it includes nonconstative performative inquiry, which includes indigenous field researchers’ personal and religion-specific judgments about group values, analysts’ judgments about the categories of measurement that would best serve the needs of peacemakers, and data scientists’ comparative tests of performative versus semantic programs for natural language processing.
In sum, VPA is not a strictly constative science because: (a) Its measurements integrate constative descriptions of stakeholder group discourse, with nonconstative interactions, with features of the discourse; (b) These features are the observable signs of certain relations between judgments by group teachers/influencers and by group members; (c) Its measurements are verified not only through further observations of the discourse alone, but also through the results of another level of performance: the potential contribution of VPA measurements to the efforts of peacemakers to remediate or prevent incidents of interreligious conflict.
Performative science: Before Austin, Charles Peirce and John Dewey identified performative dimensions of the logic of science, and thereby anticipated the founders of early 20th century quantum science, who observed that their science combined elements of classical and nonclassical physics. In our terms, classical physics sought to make only constative claims; nonclassical physics offered performative claims. In 1910, Ernst Mach wrote that scientific claims about objects in the world could not be verified without taking into consideration the effects of different faculties of sense perception (Mach and Toulmin 1910). As summarized by Stephen Toulmin,
For Ernst Mach, … the methodology of physics would remain incomplete so long as physicists insisted on looking only outward: rather they should turn their attention back upon themselves and consider more candidly the relationship of their theoretical concepts to their own “sense impressions” or “sense observations”. The time had therefore come to adopt a more critical attitude toward the interrelationships between the observing scientist and objects of observation.
According to Werner Heisenberg and Niels Bohr’s Copenhagen interpretation of quantum theory, the tools of quantum measurement effect changes in the behavior of subatomic particles (Heisenberg 1999; Bohr 1935). Quantum measurement is, therefore, a product of a space–time-specific relationship between subatomic objects of measurement and the measurement tools. The measurement is, in this sense, performative. This does not mean that it is strictly “subjective” any more than it is strictly “objective”. It is a relation that has a character of its own, of which the tool and object of measurement are relata. We have not introduced these historical notes in order to identify our science of religion as a quantum science, but to show that the notion of performative science is not new. Our science integrates performative and constative features, just as quantum mechanics integrates features of classical and nonclassical science.
VPA is a scientific method, but it does not deliver only constative claims about facts-on-the-ground, such as efforts to identify the causes of a given conflict, and then to identify ways of removing those causes. The goal of VPA is not even to identify the character of each stakeholder group in a conflict, or the actual values that the group members hold. All such efforts would be constative, and our researchers agree to this extent with foreign policy analysts: there is no adequate constative science of religion-in-conflict. VPA is a scientific method because it is guided by well-formed hypotheses and it provides field-testable performative measures that may be independently verified and critically evaluated.
The single most significant difference between VPA and a constative science is that the objects of VPA measurement are not limited to facts in the world but include signs of how focus group members receive and respond to certain facts. VPA analysts measure these signs as probable early warning signals, rather than as direct evidence of near-future group behavior. The signs qualify as early warning signals only if, in the judgment of VPA analysts, the signals are strong and precise enough to merit immediate attention by location-specific peacemakers. Peacemakers who are accustomed to relying on constative evidence need additional training if they want to take advantage of such early warning signals and need to learn, for example, to work with probabilities rather than clear and distinct facts, and to rely on what some call, “inference to the best explanation” (Lipton 2004), rather than on classical models of induction and deduction.
Within the space of this essay, we do not attempt a technical analysis of the logic of performative science. Instead, we offer an introductory heuristic: an account of how VPA interprets signs beyond the limits of observing facts; measures relations and correlations rather than sets of discrete data; draws inferences from linguistic behavior rather than evidence of bodily activity; and evaluates its results by the degree of its probable contribution to some activity, which, in this case, is on-the-ground interreligious peacemaking.

3.1. Reading the Signs

In this essay, our primary heuristic is semiotic. We illustrate how VPA reads vague or indefinite signs as primary sources of its performative inferences. Our illustration has three levels.
Level 1: We define a sign, first, as something in the visible world that captures the attention of an observer. The sign is, therefore, not a thing by itself, nor an observer’s curiosity by itself, but (3) a relation between what we might call (1) “the appearance” and (2) “the observer’s attention”. We need not assign a special number to the parts of this relation, but we find it particularly unhelpful to suggest that there can be only one part (the appearance of an indivisible event) or only two parts (the appearance plus the observer’s attention). For those who count parts, we assume that the sign must have at least three: (1) an appearance, (2) the observer to whom this appears, and (3) a unique relation that binds together observer and appearance.
Researchers took notice of VPA’s characteristic sign only after some years of examining religious group discourse in a variety of settings, which included, but was not limited to, settings of religious tension in South Asia. As they collected new data,13 researchers narrowed their focus, successively, to linguistic behavior in general, to stakeholder group discourse, to discourse that is related to values and possible action, to value judgments of teachers/influencers, to indigenous value terms within the predicates of these judgments, to the reception of value terms by group members, to the ways that group members assigned meanings to value terms, to the range of different meanings that were identified by focus groups, and finally, to SRA (the average semantic range of value terms displayed within each stakeholder group). One key discovery was that analysts could consistently distribute time-specific data from individual members of our subject groups into any one of the nine categories of SRA. Another discovery was that a group’s average measure tended to remain the same over several weeks, and often up to three months. Additionally, we discovered that the characteristic measures of some groups changed more rapidly than others. In the end, perhaps the most powerful discovery was that such changes appeared to correspond to periods of social tension, or to other changes in a group’s relations to other proximate groups.
Level 2: On a second level, we define a “possible sign” as the object of an agent’s desire, imagination, and will. VPA researchers were, from the start, looking for something surprising that might enable peacemakers to read early warning signs of religious group behavior. The object of desire was therefore an unidentified, or vaguely identified,14 practice of empirical research that would enable researchers to diagnose early warning signs of conflict. If successfully field tested, the researchers’ diagnostic tool could strengthen peacemakers’ skills in the identification of such signs early enough—and with enough precision—to enable remedial action before disaster strikes. This research could also demonstrate the feasibility of a performative science of religion-in-conflict. In terms of a now-expanded model of the sign, the researchers searched for: (1) Something in the appearance of stakeholder group behavior that would (2) Attract the researchers’ interest, because it might enable them to (3a) Develop a scientific method for diagnosing signs of near-future interreligious conflict, and thereby (3b) Bring their work into potential relation with on-the-ground religion-related peacemaking. This desire fueled the researchers’ successively refined hypotheses about where to look for possible signs and, once found, how to interpret and test them.
Level 3: On a third, technical level, we distinguish between a two-part, or dyadic, semiotic model of constative claims, and a three-part, or triadic, semiotic model of performative claims, and we adopt the latter as a means of diagramming VPA as a performative science. Our primary heuristic goal is to clarify the difference between a science of facts (which, alone, cannot identify certain religion-specific signals), and a science of facts + indefinite signs (which can). Our second goal is to offer a glimpse inside the interrelated levels of a performative science of religious group behavior. In the essay’s concluding section, we reflect on the features of specifically religious group behaviors that might lend themselves more generally to triadic practices of performative science.

3.2. A Semiotic Model of VPA

An introductory semiotic vocabulary:
  • A dyadic model depicts a two-part relation between a sign and its object or meaning;15
  • The triadic model depicts a sign as a three-part relation among a sign-vehicle (the visible appearance of the sign), an object or meaning, and what Charles Peirce called, an “interpretant”, or the enabling conditions with respect to which a sign refers to its object. Different analysts may choose to identify these conditions in different ways (for example, as sets of presuppositions or socio-historical conditions, and so on). The elemental reason for identifying an interpretant is to preclude definitions of a sign that generalize meaning beyond the temporal or spatiotemporal context of the interpreter’s claim.16
A four-part model:
A probable sign refers to a group’s probable near-future behavior toward other groups;
Near-future group behavior is a performative sign of the likelihood that location-specific peacemakers would read a group’s VPA measurements as an early warning signal of probable conflict; 17
Early warning signals are performative signs of the likelihood that, having adopted VPA tools, location-specific peacemakers would initiate actions to inhibit potential conflict between the groups in question; 18
Peacekeepers will most likely employ VPA in the future if actions that are undertaken in the present case (3) appear to have contributed to the inhibition of potential conflict. The validity or value of VPA is measured only by the likelihood of peacemaker trust in the method, which is measured, in turn, by peacemaker judgments about the contribution of VPA warning signals to successful peacemaking.19
For the purposes of this essay, one implication of (4) merits close attention: that the success or failure of VPA is measured by responses from potential peacemakers rather than from other social and political scientists alone. From one perspective, this is not utterly dissimilar to the role of the community in leading scientists within a given discipline to affirm or reject new theories or paradigms in that discipline. The difference is that we are speaking of judgments from a community of practitioners, rather than of scientists. Is this comparable to including engineers and spaceship builders among those who vote on the success or failure of the new theory in physics? We have two complementary responses. Our primary response is that this case is not comparable, because a science of religious behavior must include conditions of practice as part of the scientific method itself. The elemental data of the science must be conditioned by performative questions and answers. From this perspective, a science of religion-in-conflict would not be field testable—and would most likely include inaccurate claims—if it were conducted as an academic affair, alone, rather than as a partnership between academic researchers and practitioners. Our second response is that, on the flipside, our science of religious behavior would not succeed if it were conducted exclusively by location-specific peacemakers, independently of broader research in such areas as linguistics, semiotics, and comparative religion. In Section 3, we scrutinize our responses in terms of both the field accounts of Section 1 and the semiotics of Section 2. In Section 4, we test our responses in light of broader reflections on the study of religion.

3.3. Constative and Performative Elements of VPA

On the academic rather than performative side, some may ask how we can pursue a science of what you cannot see. A quick response is to ask how one can have a science of waves that cannot be directly seen, such as ocean waves (of which we see only the movement of water up and down) and light waves (of which we see only the effects). Readers will certainly think of other examples, such as forces of gravity, or electromagnetic fields, or, on the human side, justice or goodness. Perhaps we can agree to this: many disciplines examine visible effects of not-directly-visible natural or social causes, tendencies, or laws. Inquirers give names to the antecedents to these effects, as Plato and Aristotle would aver. Over time, specialists have always bickered over the names and the modalities of what they refer to, questioning whether they refer to phantasms or substances, potentialities or actualities, realities or objects of imagination. VPA researchers attend to visible ethnolinguistic phenomena: group tendencies to attribute one or many possible meanings to what group members call their cherished values or sacred beliefs. VPA analysts adopt a working hypothesis: that it may prove very useful to examine these quantitative attributions as if they were the visible effects of ethnolinguistic tendencies that could not be directly observed, and as if these tendencies included dispositions to act in certain ways toward other groups. By applying and testing this hypothesis over a decade, we have succeeded in generating well-formed and recurrent classes of data that correspond, within the limits of probability, to the possible signs we originally sought. We have successfully field-tested the data in simulated conditions of tension and not-yet violent conflict. We theorize that we would obtain comparable results in conditions of overt conflict, but such testing would have to be sponsored by security agencies. While our work is well received by officers in the United States and by non-US agencies, the innovative character of our science has not yet won the trust of those who oversee funding and deployment.
Working within the scope of our current findings, we devote this section to a concluding semiotic analysis of the overall coherence of VPA theory, data collection, and testing. Our hope is thereby, to display the strengths of VPA as a performative science of potential significance for on-the-ground interreligious conflict prevention and remediation. To do so, we add a second more technical level of analysis to the four-part model of Section 2.
Part 1: The probable sign (Sn) functions as a vague or indefinite claim. Consider, first, a vague claim. Peirce offers this example: the claim that, “someone in this room is smoking”. The claim is constative—“there is cigarette smoke in the room”—and the claim adds an inference: if there is cigarette smoke in the room, then someone must be smoking. The claim can be diagrammed logically as: ∃x[S(x)] (there is someone such that that someone is a smoker). However, the claim is also self-limiting: the claimant does not offer evidence of who it is. In this way, the claim has an indefinite quantifier (∃x), whose domain is any one of several persons (all the persons in the room). The claim is also conditional, and it implies that, “if you search through the room, you will find the person who smokes”. In sum, a claim is vague or indefinite if it offers an incomplete constative assertion that leaves to the claimant the responsibility to complete it. Until the claim is completed, the claim refers to (is quantified by) any one of a set of possible entities.
What if, however, the predicate of a claim is vague, rather than the subject? The primary signal for VPA analysis is indefinite in this sense: a teacher utters a value judgment whose value predicate is vague: for example, “That text is holy”, where “holy” could be defined in any one of several ways. Such judgments are performative. Our analysis of them falls in the realm of what some call, “fuzzy logic” or “multivalued logics”. To avoid too much detail, we limit ourselves to Charles Peirce’s semiotic account. A few citations from Peirce will warm up the idea of indefiniteness: “the unsettled is the primary state [of things in the universe] …; definiteness and determinateness, the two poles of settledness, are in the large approximations” (Peirce 1909); “Color is also something essentially vague, for the color of an object is the admixture of lights necessary to producing the same chromatic effect…. Even normal eyes receive quite different chromatic sensations from the same objects… Color, therefore, is quite a remarkable vague quality” (Peirce 1909); “No words are so well understood as vernacular words…; yet they are invariably vague… This is emphatically the case with the very vague word ‘God’, which is not made less vague by saying that imports ‘infinity’, etc. since those attributes are at least as vague… Every concept that is vague is liable to be self-contradictory in those respects in which it is vague. No concept, not even those of mathematics, is absolutely precise” (Peirce 1906). Peirce adds that instincts and indubitable beliefs are invariably vague, yet “are far more trustworthy than the best-established results of science, if these be precisely understood” (Peirce 1906). Returning to our semiotic account, Peirce writes,
A sign… that is in any respect objectively indeterminate (i.e., whose object is undetermined by the sign itself) is objectively general insofar as it extends to the interpreter the privilege of carrying its determination further. Example: “Man is mortal”. To the question, What man? the reply is that the proposition explicitly leaves it to you to apply its assertion to what man or men you will. A sign that is objectively indeterminate in any respect is objectively vague insofar as it reserves further determination to be made in some other conceivable sign, or at least does not appoint the interpreter as its deputy in this office.
In these terms, VPA is founded on the discovery that the cherished values of religious stakeholder groups display degrees of vagueness, with each degree corresponding to a prelimited range and quantity of meanings that the group tolerates or encourages. Individuals may assign meanings to the group’s value terms, as long as those meanings fall within this range and quantity. A second founding discovery is that a group’s characteristic range of meanings changes in response to environmental conditions, especially in response to the presence or absence of intergroup tension. Groups that are more aggressive or defensive restrict the range and quantity of meaning, potentially down to one required meaning. Groups that lack corporate cohesion relax the range and quantity of meanings. Groups that adjust more readily to changing environmental conditions and that display greater intergroup communicative skill also display an intermediate or balanced range and quantity of meanings.
Part 2: We identify a group’s near-future behavior with its near-future linguistic behavior, assuming that all group dispositions toward other groups will be displayed a priori in group discourses, especially in value-related discourses. Sudden reactive behavior by group members falls outside the purview of VPA, because it also falls outside the groups’ linguistic proclivities. Practically speaking, we cannot envision any way that peacekeepers could anticipate such behavior, except insofar as the likelihood for such behavior attaches to the groups’ linguistic proclivities. Testing for such likelihoods falls within the work of VPA. Researchers may anticipate, for example, that groups that register quite high or quite low on the scale of linguistic flexibility would be more likely to include members who are relatively more liable to such reactive behavior. While groups displaying SRAs of 7-9 are not likely to display corporate behavior of this kind, they are more likely to include individuals or small subgroups whose proclivities are discontinuous with those of the majority of group members.
Part 3: Part 3 illustrates the academic-and-practical nexus of VPA. VPA science is at once academic (in its pursuit of a dispassionate study of stakeholder group behavior) and performative (in its desire to contribute research that would strengthen interreligious peacemaking efforts on the ground). This dual service provides enabling conditions for VPA’s abductive activity (that is, its effort to formulate field-testable hypotheses about religious group behavior). It is because of their desire to serve peacemaking efforts that VPA researchers searched, beyond the assumptions of current social and political science, for possible early warning signals of conflict. We labeled the object of their search a “possible sign”. As researchers examined religious group behavior, this possible sign served as a criterion for measuring what would qualify as a potential peacemaking signal and, therefore, what would merit further investigation. If this method turned up no potential signals, then there would remain no significant semiotic link between the researchers’ inquiry and their idea of a possible sign. As it turned out, potential signals were identified, refined, and field-tested, which resulted in the VPA model that is described in this essay. As a product of current research, the VPA model integrates features of both the possible sign (a performative object of researchers’ desire to serve peacemakers) and useful evidence that was collected from the field and analyzed (a constative-and-performative object of the researchers’ science). The possible sign is a necessary (albeit nonsufficient) condition for framing VPA hypotheses.
Part 4: Part 4 demonstrates the coherence of VPA. “Pp ∧ ~ P! │VPA” models a potentially successful three-dimensional product of VPA science, which indicates that, if successful, the science would serve as an interpretant (│VPA) of interreligious peacemakers’ efforts (Pp) to identify and inhibit emergent conflict (that is, to negate or obviate conditions of conflict (~ P!). A more complete model would distinguish degrees of linguistic flexibility between SRAs 1–2 (signals of strictly monovalent readings of group value terms) and SRAs 7–9 (signals of excessively polyvalent readings of group value terms).20
Model 1 identifies monovalent readings with determinate claims that conform to the principle of noncontradiction [OT ∨ ~OT], and polyvalent readings with indefinite or vague claims that do not conform to that principle [~ (OT ∨ ~ OT)].21 Model 2 identifies the VPA interpretants of conflictual behavior, which appears as P! in the terms of Section 3; within this model, it appears as ∑e, where the disposition to such behavior appears as a sum or class of problematic behaviors, “e”. Thus, │Ip = ∑e [where e = error/disposition toward conflict]. Model 3 identifies the elemental features of successful peacemaking or repair.22
Our models make use of unconventional symbols whose meaning and force may become clearer in Section 4. The purpose of such models is to construct, and to thereby demonstrate, a consistent and coherent theory of VPA that is supported by the imitable system of data collection that is introduced in Section 1, and by our methods of field testing. In this way, we hope to offer evidence of how VPA functions as a performative science. The success or failure of this science is, of course, another matter. Our field-test results are encouraging; the next step is testing by peacemakers.

4. Applying VPA Theory to More General Accounts of Religion

VPA is useful in testable, localized applications. Such applications offer no account of the nature of religion, in general, or of the essential character of a particular religion and a particular set of values. The force of the science is displayed only in its practical use. At the same time, while planning research and field testing, we found it useful to construct plausible explanations of the kind of worldly conditions that could supply useful data for such a science. We recognize that, in constructing these explanatory narratives, we seek to reassure ourselves that our work, however innovative or unconventional, is not out of touch with reality. If we could not imagine a world that could warrant our science, we would not trust our efforts. At the same time, we recognize that our narratives are as fallible as our science. We are, therefore, prepared to adjust our narratives according to what we learn in the field, as much as we are prepared to adjust our field practices to accommodate our most reasonable narratives. To reiterate, our narratives are not an attempt to imitate some static reality; they are functional, just as our science is functional. For that reason, we do not offer a single broad and static narrative by way of conclusion to this essay. Instead, we offer samples, drawn from our evolving narratives, that illustrate how, from the perspectives of different field locations, we might have imagined religion and religion-related behavior working in the world. We offer these samples so that readers may test how well our models of VPA might complement conceivable accounts of how religion and religious behavior work in the work. Minimally, this exercise may help readers to visualize the meaning and force of our models—or the lack thereof! Each sample is presented as a principle that would apply if the world corresponded to VPA observations. In this section, we will use the symbol, religionb, to refer to features of both religion and religious behavior.
Scientists of religionb will not be able to identify general or universal features of religion and religious behavior. They may, however, identify what Wittgenstein called, "family resemblance classes”23, which are constructed out of sets of features that are observed in various space–time-specific locations. It is possible, moreover, that individual features that are observed in one location may also appear in many locations; in this sense, such features are neither strictly localized nor universal. As in many worldly phenomena, empirical observations begin locally and, within the limits of empirical evidence, suggest broader applications.
1. Religious or value-centered24 beliefs correspond to habits or regularities25 of worldly behavior that may not be directly visible. To identify such patterns, scientists of religionb must: (a) Engage in extensive empirical studies of visible behavior; (b) Reason abductively to generate potentially field-testable hypotheses about habits or regularities of behavior that, if posited, would enable scientists to correlate features of visible behavior with features that have not yet been observed; and (c) Test and refine such hypotheses with respect to ongoing field observations.
Such research is best conducted locally. VPA researchers have obtained the most reliable results when working with one modest-sized group (from 200–4000 members) at a time, over a finite period of time. VPA researchers have observed changes in a religious group’s linguistic behavior after about three months, so that evidence about significant group tendencies would need to be refreshed every three months. In periods of social unrest or intergroup tension, evidence would need to be refreshed more often, and even daily in contexts of violence. VPA researchers have gathered less reliable data from populations over 4000. Researchers hypothesize that such populations include subcommunities that display significantly different habits of behavior that may, in fact, resemble those of neighboring subcommunities that profess different religious traditions than more distant subcommunities that lay claim to a common religious tradition.
Habits observed in one location may not, therefore, offer reliable information about 1the behavioral tendencies of groups from other locations that profess the same religious tradition. To profess a religion may mean, simply, to attach a presumably generalizable name to a local group practice, whether naming a tradition (such as Judaism or Islam), a denomination (such as Conservative vs Reconstructionist Judaism, or Shia vs Sunni Islam), a legal school (such as Hanafi vs. Hanbali), or devotees of a unique religious leader or institution.
Read the signs: Visible features of religious group behavior may serve as indefinite signs of underlying habits of behavior. In this sense, religionb sciences seek to identify verifiable correlations between visible signs and nonvisible habits. As noted earlier, the semiotic formula, S → O│, may serve as a template for the identification of the elemental objects of religionb science: from the perspective of religionb science (│), certain features of visible behavior (S) signal correlative features of underlying habits of behavior (O). The nonbinary character of this formula identifies religionb science as a performative science, in contrast to a strictly constative science, whose dyadic formula would lack an explicit interpretant: S → O. The nonbinary formula is a useful instrument for the identification of sciences whose objects include possible signs. Religionb science is an empirical science that includes both possible and actual signs. As noted earlier, possible signs are indefinite signs, and they refer to any one of a set of possible objects [ 1 o ]; the interpretant of the science indicates the conditions with respect to which a scientist has, per hypothesis, selected a finite subset of such objects, [S → 1 n o ]│religionb science].
2. The most readily observable object of religionb science is linguistic behavior. Religionb science may examine many forms of nonlinguistic behavior, but language use is, for several reasons, the most economical subject of study. Language use is ubiquitous among group members who are not incapacitated. Initial levels of language use are immediately observable through spoken or written signs. As noted, it is possible to correlate visible signs with nonvisible habits of group linguistic behavior. Language use is amenable to both qualitative and quantitative scientific observation; SRA offers a prototype of the latter. Everyday language use displays features of both constative and performative linguistic behavior. Performative use is correlative to an individual’s displays of emotion, sensibility, desire, purpose, and authority; to an individual’s probable participation in a broad range of relations and of shared practices; and to all aspects of group performance. For VPA science, the most important performance is a group’s disposition to act in certain ways toward neighboring groups. VPA’s foundational discoveries are that these dispositions are correlative to certain classes of linguistic behavior, and that there is no need to search for additional ways of correlating these dispositions to types of on-the-ground physical action. The latter discovery may be most surprising to readers. It is that, for the sake of identifying early warning signals of probable conflict, there is no need for VPA scientists to concern themselves with a group’s nonlinguistic dispositions. There are two reasons for this. First, evidence of physical behavior would come too late for peacekeepers to take action to prevent conflict. Second, it is highly likely that a group’s corporate tendencies to act will be displayed linguistically prior to and during any physical performances by the group. This is because corporate actions are necessarily intentional, since any unintended actions would not attach to the group per se, but only to individuals, or collections of individuals. Intentional action is invariably displayed linguistically, or in forms that translate directly into the vocabularies and syntax of group discourse.
3. The most readily observable object of religionb linguistic science is the linguistic expression of a group’s most cherished values, which include value judgments and value-specific readings of group codes and instructional narratives. We employ the term, “value”, as an analytic term for use in religionb science; only group members—ideally group teachers/influencers—can identify indigenous words and behaviors that, per hypothesis, scientists identify as elements of a group’s value discourse, which serve as the primary medium through which group influencers/teachers influence on-the-ground group behavior.
6. Value predicates. In this essay, we focus on value predicate analysis, but it would be reasonable to pursue many other types of value-related analysis as well.26 After collecting data for SRA, we have begun to field-test three other genres of value-based diagnostics. While our results are not yet ready for publication, we have encouraging data from analyses of narrative genres, of subgroup efforts to push for changes in value meanings, and of several types of what we call, “meta-discourse” (evidence of structural changes in how a group organizes and defines its elemental value terms).
7. Polyvalence and monovalence in religionb discourse. Our studies of linguistic flexibility are quantitative measures of polyvalence: from an SRA measure of 1 (strict monovalence) to 9 (excessive polyvalence). Religionb scientists may find such quantitative measures of greater significance than conventional efforts to characterize religious groups as more vs. less tolerant, with the assumption that more tolerance implies greater goodness. VPA analysts do not seek to identify the reason for a group’s engagement or disengagement in conflict; the reason may be aggression, or a defensive response to unjust oppression or invasion, or something else. The purpose of VPA is to provide signals of use to peacemakers, whose own purposes, values, and prudential judgments condition decisions about when and how to act on VPA measurements.27
8. The purposes of inquiry. Among the enabling conditions of any project of religionb science is an explicit purpose. The purpose of VPA is to provide diagnostic tools for interreligious peacekeeping. Another religionb project might examine metaphors for nature in a sample of contemporary Lutheran theologies; the research team’s goal might be to measure the soft power of literary tropes in shaping a denomination’s ecopolitics; and the purpose might be to encourage religious ethicists to pay more attention to religious politics. Another project might seek to provide a coherent Lutheran theology of the natural world with the purpose of strengthening Lutheran commitments to climate change. We mention the latter to illustrate that religionb science could serve denomination-specific purposes as well as academic-discipline-specific purposes. A Lutheran and religious studies research team might make overlapping observations about recent Lutheran writings, but they might reach different conclusions that are drawn in the service of different purposes of inquiry. The different conclusions would not reveal contradictions between scientific and religious inquiries but would mark different objects of inquiry that are correlative to different interpretants: S → OLeL vs. S→ Orprp. One team reads certain Lutheran texts (S) as possible signs of Lutheran environmental sensibility (OLe); the other reads those texts as possible signs of the force of religious politics (Orp). The readings are different, but not contradictory.28

5. Conclusions

We conclude by summarizing lessons that were learned from a decade of research on value predicate analysis:
  • In regions prone to conflict, modest-sized religious groups can be identified and engaged through ethnolinguistic and group-self-reflective studies. It is therefore possible to identify specifically “religious” groups in the field. Such groups inhabit finite geographic spaces. It is possible to engage such groups in ways that are specific to the socio-linguistic character of the groups, as measured through VPA;
  • It is possible to train local stakeholder group researchers, who gather appropriate data within their own religious groups, and who engage in mutually meaningful communications with region-specific researchers. It is possible to generate field projects that would, without duplicity, serve the immediate interests of local focus group members. Nonspecialist researchers and local researchers can successfully collect linguistic data that is needed to measure SRA within such groups: they can regularly identify value-judgments and value-predicates within group discourse, and record group-member judgments about the meanings of those value-predicates;
  • It is possible to collect ethnolinguistic data that would help region-specific peacemakers identify conditions of conflict among religious groups. While we have not yet conducted field tests in locations of violent conflict, we have received promising results from field tests in environments of simulated conflict, along with encouraging reviews from Army Civil Affairs Officers who have returned from conflict in South Asia;
  • The practices of VPA conform to the general standards of scientific method, which include well-formed field-testable hypotheses, and independently verifiable methods of observation, measurement, data collection, and critical evaluation. At the same time, the practices are atypical in that they include elements of performative inquiry. Because we identify VPA as an atypical science, and because we identify which elements of VPA are performative and which are constative, we do not claim more or less than can be achieved through such a science. We do not claim that it can, overall, deliver true or false claims about the character of a religious group’s values, or about the patterns of behavior that the group will display. At the same time, we present evidence that this science can potentially serve its overall purpose of enabling peacemakers to anticipate probable stakeholder behavior toward other groups before there is explicit evidence of such behavior on the ground;
  • Extending lessons learned within the practices of VPA, researchers may discover other ways to construct and employ performative-and-constative sciences of religion;
  • There are many lessons yet to be learned, including lessons from broader field tests of VPA, and of cognate sciences of religious group behavior. There is reason to experiment with additional varieties of purpose-specific sciences of religion, and to weigh the merits of a given purpose against the constraints of context-specific applications and degrees of uncertainty. There is also reason to be highly disciplined in the construction and testing of such sciences, as well as reason to be cautious about misuse or misrepresentation.

Author Contributions

Authors made contributions as follows: conceptualization, P.O., E.F., P.P.; methodology, P.O., E.F., P.P.; software, P.O.; validation, P.O., E.F., P.P.; formal analysis, P.O., E.F., P.P.; writing—initial draft preparation, P.O.; writing—review and editing, P.O., P.P.; visualization, P.O.; supervision, P.O.; project administration, P.O. and P.P.; funding acquisition, P.O. All authors have read and agreed to the published version of the manuscript.


Research by the Value Predicate Analysis Team was partly funded over 11 years by the Henry R. Luce Initiative on Religion in International Affairs grant for research on “Hearth to Hearth Religious Conflict Transformation” (GF12878.143892; 2014–2017); Office of the Dean of the College of Arts and Sciences (seed grant for research on “Religion, Politics, and Conflict”, 2016–2018); the University of Virginia Center for Global Inquiry and Innovation (2015 CG II award for preparing research on “Religion, Conflict, Foreign Affairs; CG12 award for “Global Initiatives Grant to conduct research on “Religion, Politics, and Conflict, 2016–2018; UVA Global Research Program of Distinction, 2017–2018); the University of Virginia Board of Visitors’ Strategic Investment Fund (“Advanced Research and New Forms of Learning in The Social Sciences and The Humanities”, College of Arts and Sciences): a three year grant to conduct the UVA Initiative on Religion, Politics and Conflict, 2017–2020).

Institutional Review Board Statement

According to the University of Virginia IRB (2015, 2017), ethical review and approval were waived for this study, because our individual subjects were anonymous and recorded data applied only to larger groups. All our subjects joined our projects as researchers measuring their own “semantic range” readings of group values (as identified by them). Within our data collection, their submissions bore no personal names but only names of texts or sermons analyzed from what category of professional or religious groups.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study. Consent was obtained as a courtesy even though the subjects cannot be identified in our data sets or published results.

Data Availability Statement

Data results are published only in the research team’s previous publications (Ochs et al. 2019; Ochs 2019a, 2019b) and publications currently in preparation.

Conflicts of Interest

The authors declare no conflict of interest.


The author observed this firsthand while working at the DOS. There is now a plethora of publications that urge governments and think tanks to attend to the role of religion and religious groups in violent political conflict, whether on the side of peacemaking or war making. Built on foundations that have been laid by recent publications, our study addresses a need for location-specific scientific studies that might make immediate contributions to local and regional interreligious peacemaking.
Over the past two decades, government agencies have sponsored extensive social scientific research on methods of countering violent extremism (CVE); there has also been a significant increase in broader social scientific research into various features of religious behavior, including tendencies toward peaceful or conflictual behavior. In the terms of this essay, such social scientific studies remain constative. They therefore provide useful but limited information about religious behavior, and omit features that are displayed only through studies that are performative as well as constative (see below, pp. 7–9). The same distinction applies to statistical studies, the vast majority of which are constative and cannot measure the behavioral phenomena that are displayed through performative science. By way of illustration, our work draws on many excellent, constative studies of this kind, including Demmrich and Huber’s, “Multidimensionality of Spirituality: A Qualitative Study among Secular Individuals”, and the work of Robabeh Poorjebelli et al.: “A Study on Religious Values”. To provide computational acceleration for our performative text studies, we rely on text-mining tools that integrate manual inputs with natural language processing tools, such as vector analysis. See below, pp. 6–7.
In this essay, “peacekeepers” refers to UN and governmental agencies dedicated to regional conflict reduction or resolution, ideally through the use of soft power, but with capacities for the use of force when necessary. When distinguished from peacekeepers, “peacemakers” refers to nongovernmental agencies that seek to identify or apply methods of conflict reduction or resolution without the use of force. When appearing without this distinction, “peacemakers” refers to both peacekeepers and peacemakers.
Our study of religious groups is simultaneously a study of what we call “value-centered” groups; our diagnostic methods apply equally to groups that describe themselves as “religious”, or as what we label, “intensely value-centered but not religious”: for example, Sea Shepherds (a radical environmentalist group in the United States) or Marxist-like groups. When we array the results of our studies of both religious and nonreligious value-centered groups on a single axis, most of the religious groups occupy one side of the axis, but some of the nonreligious groups appear among them, while other nonreligious groups appear toward the other side of the axis, along with self-described “humanistic” religious groups. Our conclusion is that all these groups may be successfully analyzed and compared within a value-based system of measurement.
“Obeying prophetic commandments and practices preserved in prophetic utterances, both in words and deeds”; “learning about his personality, life, and deeds, by studying the Prophet’s biography”; and “remembering and emulating him as if he were still alive and before you”.
The data group produced two publications: (Venuti et al. 2016; Green et al. 2017).
The data group explains: Natural language processing (NLP) is a range of techniques that allow machines “to analyze, understand, and derive meaning from human language in a smart and useful way” (Algorithmia 2016). NLP has been applied to a diverse set of tasks, such as sentiment analysis, translation, and topic segmentation, and it sits at the intersection of many different fields, including text mining (Algorithmia 2016). Text mining transforms text into data in order to discover relevant information that can be used for future analysis (Expert System 2016). NLP is, then, the methodology that deciphers the textual data in order to gain an understanding of the linguistic question at hand (Green et al. 2017).
Performative programs were able to reproduce our results with an accuracy of up to 91%, while constative programs had accuracies of up to 63%.
Austin introduced this distinction in the beginning of his book, only to retract it to some degree by the end of the book, where he removes the notion of constative utterances and replaces it with a complex distinction among different kinds of performatives. True–false distinctions, for example, reappear as one type of what he calls, “verdictives”. We could restate our distinction between constative and performative science into a distinction among types of verdictives, or between predictors and commanders. However, there is no need to burden this essay with such complexity. In a full monograph, we could restate our account of science in terms of his complex distinctions, but Austin’s initial artificial distinction is quite adequate for our purposes in this essay (Austin 1962).
Semantic and sentiment analyses do indeed identify features of religious group behavior, but not the performative features that are identified through the data group’s performative text-mining programs.
The project field manager was Sabookh Syed, a TV journalist noted for his extensive work in interreligious dialogue. He fashioned the 10 focus groups and facilitated all of their meetings.
Because our data and analysis will appear in another publication, we offer here only glimpses at this phase of the work. A total of 3640 initial data sets and first-level SRA measurements were received in Urdu and translated into English for final VPA analysis and plotting. One set of numbers reflects the SRA for each group meeting by itself. Here is a sample of a week’s raw SRA measures for 3 out of 10 groups, which display 3 out of 6 researchers: Civil Society: 3.45; G: 3.88; I: 4; S: 2.17; Deobandi: 2.96; G: 3.67; I: 3.67; S: 1.33; University Group: 3.31; G: 3.67; I: 3.28; and S: 3.
A second set of numbers reflects raw change in SRA measurements for a meeting between competing groups asked to address topics that stimulate intergroup tension. This is a minimal sample, drawn from 1 out of 10 groups, in the setting of 1 out of 9 shared meetings, displaying 2 out of 6 researchers. A subsequent analysis calibrated the predictive weight of each case of SRA change, factoring each group’s history of SRA measurements over 36 months, plus our estimate of additional context variables (including real-time political news, evidence of previous intergroup encounters, and more): Shia Ulama by itself: 1.58; G: 1.66; I: 1.5; After meeting with Deobandi: 1.0; G: 1.0; I: 1.0; and SRA change: −0.58.
Analysts classified the results of hundreds of manual semantic range studies, accelerated to thousands of texts studied through techniques of natural language processing.S → O. The symbols we use are specific to this essay. For example, → represents signification rather than logical implication.
See Level 3.
S→ O. The symbols we use are specific to this essay. For example, → represents signification rather than logical implication.
S → O│ [where│ marks the interpretant].
Sn → Bg: A probable sign (Sn) refers to a group’s probable near-future behavior toward other groups: (a) Sn → Bg│Msra: the probable sign is identified through SRA measurement. (b) LFg→ Msra │VPAc: SRA measures a group’s linguistic flexibility, which researchers identify with constative-statistical measurements of the degree of value-predicate polyvalence in the linguistic behavior of focus group members. P! → Pp │VPA: early warning signals [P!] signify the likelihood that, having adopted VPA tools [│VPA], peacemakers would initiate actions (Pp) to inhibit potential conflict between the groups in question. See below, Part 4.
P!→ Pp │VPA: Early warning signals [P!] signify the likelihood that, having adopted VPA tools [│VPA], peacemakers would initiate actions Pp to inhibit potential conflict between the groups in question. See below, Part 4.
Pp ∧ ~ P! │VPA: peacekeepers will most likely employ VPA [│VPA ] in the future if actions undertaken in the present case (Pp) apparently contributed to inhibiting potential conflict [~P!]. See below, Part 4.
The following three models are adapted from (Ochs, 2019b).
The model is, Tscr = (ST→OT│Ic, where O= Religions 13 00329 i001 •, and where OT ∨ ~OT) ∨ (ST→∑ (OT│Icy, where ~ (OT ∨ ~ OT)).
(S1→ Oe) → (S1→ Oe│Ie) → (│Ie) →∑ (S1→ Or│Ir)│Ip [where Oe = a disposition toward conflict, which functions as the object of the warning signal (P!): S1→ Oe; Ie= a disposition toward conflict, which functions as the interpretant of a group’s problematic behaviors; Or = a repaired or inhibited disposition, which functions as the object of peacemaking (Pp); Ir = a repaired or inhibited disposition.
Introduced by others, the term’s use was most famously extended in (Wittgenstein 1958).
In Section 4, all references to religious beliefs and values also apply to phenomena observed in value-centered groups.
In Section 4, we will use the term, “habit”, to refer to habits or regularities or patterns.
Here is a sample of instructive prototypes for such study. In Jewish values studies: Max Kadushin’s many studies of “rabbinic value concepts”, and Vanessa Ochs’s studies of “Jewish Sensibilities”. For example, (Kadushin 1973; Ochs 2006; Ochs 2003). In Christian value studies: Gary Comstock’s uses of Kadushin’s value concepts, and Stanley Hauerwas’s ethics. For example, (Comstock 1990; Hauerwas 2001). In Muslim value studies: studies on purposes of the law (for example, by Felicitas Opwis, Rami Koujah, Anver Emon, David Johnston, and Andrew March); and studies on sources and logic of the law (for example, Ebrahim Moosa, Sherman Jackson, Mohammad Fadell, Anver Emon, and Khaled Abou El Fadl). See, for example, (Abou El Fadl 2014). In philosophic studies: John Dewey, Max Scheler, John Deely. For example, (Dewey 1938).
VPA reports include recommendations about the range of peacemaking actions that might be signaled by VPA measurements. Choice of action would be relative to field conditions.
They are logical contraries, not contradictories.


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Figure 1. Traditional Pakistani seminary.
Figure 1. Traditional Pakistani seminary.
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Figure 2. Pakistani liberal arts university.
Figure 2. Pakistani liberal arts university.
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Figure 3. Religious activist engineering students.
Figure 3. Religious activist engineering students.
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Table 1. Comparing linguistic flexibility scores for other religious and value-centered groups.
Table 1. Comparing linguistic flexibility scores for other religious and value-centered groups.
Group NameDescriptionLowHighRangeAverage Score
ISISRadical Islamist1211.1818
Westboro Baptist ChurchFundamentalist Baptist1211.2857
Sea ShepherdsRadical Environmentalist1321.6429
Liberal Jewish commentariesLiberal Judaism1873.2340
John PiperConservative Evangelical1543.4000
Dorothy DayProgressive Catholic2533.7647
Traditional Jewish commentariesRabbinic Judaism4404.0000
Integral YogaAmerican Yoga community1874.8980
Mehr BabaIndian Guru2975.3909
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