Search Results (484)

There is now considerable effort in addressing complex problems through the application of systems science. This includes the use of methods to ‘co-inquire’ with community stakeholders and map systems to understand the nature of complex problems from multiple perspectives. However, moving from insight into the system to action has been more challenging. In this paper, we describe an approach to the identification of ‘relevant’ and ‘actionable’ local problems, where place-based systems change is the goal. The first phase includes an exploration of what is already known about the system, via an initial system scan, visual system mapping and community workshops. The next phase is an exploration of local problems and patterns, via community workshops and the development of a causal loop diagram. We argue for the identification of complex problems and their underlying causes that resonate with community stakeholders as immediately relevant and able to be acted upon locally. Our approach is neither rigid nor prescriptive. Through the configuration of systems methods (described above), it offers an inquiry pathway, enabling problem identification to emerge from engagement with the complexity of the system. We present both our approach and its application in one Australian community and invite researchers to apply, adapt, and refine this approach in diverse communities seeking place-based systems change. Full article

This study investigates how virtual reality systems can support inclusive access to culturally restricted sacred heritage sites. Two extended reality (XR) approaches were developed and deployed in a real-world setting: a VR360 virtual tour and an AI-driven immersive virtual reality prototype with conversational interaction. A research-in-the-wild, between-subjects study was conducted with 136 participants using mixed methods, including standardized questionnaires (System Usability Scale, User Engagement Scale, and Igroup Presence Questionnaire), retrospective interviews, and exhibition staff observations. The results reveal clear trade-offs between the two systems. The VR360 system demonstrated higher usability and operational reliability, requiring minimal supervision and technical resources, whereas the AI-driven immersive VR system supported embodied exploration and conversational inquiry, which was associated with higher spatial presence and helped visitors address questions during exploration. Qualitative findings further indicate that conversational interaction enhanced user experience but also introduced greater technical complexity and staffing requirements. Overall, the study provides empirical insights for designing and deploying XR systems in heritage contexts and highlights how different levels of immersion and interaction influence usability, presence, and operational feasibility when supporting inclusive access to culturally restricted sites. Full article

Place-based approaches have gained significant attention as a means of addressing entrenched disadvantage through collaborative, locally responsive service delivery, yet implementation has yielded mixed results and the systemic factors that facilitate or impede inter-organisational collaboration remain inadequately understood. This study applied participatory systems mapping as part of a systemic inquiry to identify leverage points for place-based integrated service delivery in the City of Casey, an outer-metropolitan municipality in Melbourne, Australia. Twenty-one representatives from the Casey Futures Partnership engaged in group model building workshops, co-producing a causal loop diagram containing 33 factors and 104 directional connections. The resulting map was analysed using a blended analytical approach combining network metrics with the Action Scales Model. Funding availability and criteria emerged as the most central factor within the system, while belief-level factors, including territorial behaviour and resource and collaboration mindset, were found to be substantially shaped by upstream structural conditions. Factors combining network influence with deeper system positioning and amenability to local action included awareness of community needs and priorities, trust and willingness to collaborate from funders, inter-organisational communication, and advocacy effectiveness. The findings support multi-level place-based approaches that address underlying beliefs and structural conditions alongside operational improvements. Full article

The study reconsiders the architectural production associated with Russian Suprematism (which was speaking of “the supremacy of pure artistic sensation” rather than the veritable figurative depiction of real-life subjects) in the early Soviet period as a coherent and conceptually rigorous mode of speculative world-making rather than as a marginal or unrealized appendix to avant-garde art history and theory. By examining the architectural propositions articulated by Kazimir Malevich and then elaborated by his younger colleagues Lazar Khidekel, Ilya Chashnik, and Nikolai Suetin, the study advances the claim that Russian Suprematist architecture constituted an epistemic experiment aimed at redefining the very ontological premises of architecture. Far from functioning as a mere transposition of abstract pictorial language into three-dimensional form, Suprematist planits, architectons, and aerocentric projects operated as instruments for thinking spatiality beyond terrestrial gravity, anthropocentric utility, and historical typology. Situating these projects within the intellectual horizon of Russian cosmism and early aerospace thought, the article demonstrates how Suprematist architecture intersected with contemporary philosophical, scientific, and technological discourses that envisioned humanity’s active participation in the reorganization of cosmic space. The architectural imagination of Suprematism emerges here as inseparable from broader debates on excitation, non-objectivity, transformation of matter, and the reconfiguration of human corporeality. Through close analysis of formal strategies, pedagogical frameworks, and theoretical writings, the paper reveals the internal plurality of avant-garde Suprematist architectural inquiry, ranging from ecological proto-urbanism and hovering settlements to magnetic and cruciform spatial systems. Ultimately, the paper argues that the historical non-realization of these projects should not be interpreted as a failure but as an intrinsic feature of their speculative methodology. Suprematist architecture is thus redefined as an anticipatory practice whose unresolved propositions continue to resonate with contemporary discussions on space habitation, planetary design, ecological responsibility, and post-human architectural thought, challenging inherited assumptions about the scope and function of architecture as such. Full article

This paper critiques the discursive knowledge productions in V. S. Naipaul’s Among the Believers by challenging the authority of its purported firsthand observations of practising Muslims across four Muslim-majority societies. It argues the book’s discursive knowledge production is not grounded in empirical ethnography but is instead manufactured through specific narrative and rhetorical strategies. Drawing on theoretical frameworks from Gilles Deleuze and Félix Guattari (deterritorialization), Homi Bhabha (mimicry and ambivalence), and Paul de Man (prosopopoeia), the study demonstrates how Naipaul constructs a civilizational hierarchy by positioning himself against anthropological knowledge, trivializing or appropriating peripheral writers, selectively manipulating canonical and non-canonical texts, and orchestrating encounters with interlocutors. The analysis examines how these techniques create a narrative backdrop for critiquing Islamic institutions and practices, including Sharīʿah, religious pedagogy, and educational systems such as the pesantren. Through Orientalist framing, selective historicism, and rhetorical ventriloquism, Naipaul consistently represents the Islamic world as a site of civilizational deficiency in contrast to his ideal of a Western ‘universal civilization’. The paper further engages the writings of key intellectuals—Geertz, Illich, Foucault, Iqbal, and Maududi—to counter Naipaul’s civilizational diagnosis and to foreground alternative internal critiques of modernity, politics, and education. It concludes that Naipaul’s treatment of Islam participates in a longer discursive tradition shaped by Enlightenment-derived narratives of cultural hierarchy rather than neutral ethnographic inquiry. Full article

Amid the wave of digital transformation and customer service automation, traditional chatbots are increasingly challenged by their inability to handle unstructured data and complex queries. This issue is particularly critical in the import trade industry, where customer service representatives must respond promptly to diverse inquiries involving quality anomalies, order tracking, and product substitution. Existing rule-based or keyword-driven chatbots often fail to provide accurate responses, resulting in reduced customer satisfaction and increased operational burdens. This study proposes and implements a “Retrieval-Augmented Generation (RAG)-based Customer Service Chatbot,” integrating the RAG framework with a Neo4j-based knowledge graph, specifically tailored for the import trade domain. The system constructs a dedicated QA dataset, knowledge graph, and dynamic learning mechanism. It semantically vectorizes internal documents, meeting records, quality assurance procedures, and historical dialogues, establishing interrelated knowledge nodes to enhance the chatbot’s comprehension and response accuracy. The study also incorporates GPT-based response evaluation and a high-score caching strategy, enabling dynamic learning and knowledge enhancement. Experiments were conducted using 101 representative enterprise-level queries across six categories, reflecting real-world operational scenarios and inquiry needs. The results demonstrate that the combination of knowledge graphs and RAG technology effectively reduces AI hallucinations and improves response coverage and accuracy, thereby addressing complex problems in customer service applications. This paper not only presents a feasible AI implementation model for the import trading industry but also offers a practical architectural reference for domain-specific knowledge management in the import trade and allied sectors. Full article

Agricultural soil contamination increasingly threatens food security, environmental health, and rural livelihoods in Rwanda. However, the country’s laws and regulations remain largely ineffective and reactive to issues. Existing environmental legislation broadly addresses pollution but lacks a clear, risk-based framework for the protection, monitoring, and remediation of soil. This study assesses the adequacy of Rwanda’s current legal and institutional frameworks for managing soil pollution and develops a governance structure to enhance agricultural sustainability. It employs a qualitative desk-based methodology that combines doctrinal legal analysis, comparative environmental governance review, and interdisciplinary literature synthesis to evaluate Rwanda’s regulatory frameworks alongside established models from China, Brazil, and Kenya. The analysis highlights critical gaps, including the absence of soil-specific standards, poor institutional coordination, and inadequate systems for early risk detection and liability enforcement. The research proposes a legally mandated, multi-phase soil risk management process that includes inquiry, monitoring, assessment, mitigation, and adaptive oversight, drawing on insights from previous studies. The findings suggest that incorporating preventive, risk-based measures into national legislation can improve environmental governance, lower long-term remediation costs, and promote sustainable agricultural practices. Conducted from mid-2024 to late 2025, this study advances environmental law and sustainability by providing a context-specific framework for regulating soil pollution applicable to Rwanda and other developing economies. It also contributes to the global dialogue on risk-based environmental governance and provides a model for improving soil protection laws in emerging regulatory settings. Full article

Artificial intelligence (AI) has become a significant paradigm of methodology and epistemology in the social sciences. Machine learning (ML), natural language processing (NLP), and generative models enable researchers to work with big, multimodal datasets, identify complex patterns, and recreate events in the social world in ways that previously were not feasible. At the same time, these innovations also lead to ethical challenges related to algorithmic bias, black boxes, data extractivism, and reinforced structural inequalities in welfare, government services, education, and criminal justice. The article critically questions the social sciences in the light of AI on three dimensions that are inextricably linked, namely: (1) the opportunities that AI provides to social-scientific inquiry; (2) the biases and constraints generated through data, models, and institutional application; and (3) ethical pathways that are necessary for the responsible governance of AI-facilitated research and decision support. The article is based on a scoping, critical thematic review of the recent literature, and its conceptualization of AI as a socio-technical infrastructure is that it produces knowledge and, at the same time, offers power. It explains the impact AI practices have on restructuring disciplines like sociology, psychology, political science, and policy analysis, and how it blindly predicts how data practices, design choices, and governance arrangements can either preserve or destroy existing hierarchies. The paper suggests an analytical framework synthesizing AI practices, social research practices, and governance structures in ethical frameworks. It argues that the emancipatory promise of AI in the social sciences is dependent on the attainment of something beyond principle-based claims of so-called ethical AI by operational governance mechanisms that make systems visible, debatable, and responsible in their respective situations. Full article

Consciousness presents a structural puzzle: a unified, context-sensitive, globally integrated mode of experience emerging from distributed neural dynamics. While classical neuroscience has mapped synaptic, oscillatory, and network-level mechanisms with increasing precision, debate persists as to whether classical formalisms fully capture the integrative and contextual features of conscious processing. This review examines whether quantum principles offer explanatory leverage in two distinct senses: as formal mathematical frameworks for modeling contextual cognition, and as mechanistic hypotheses proposing biologically instantiated non-classical states. We surveyed empirical and theoretical developments spanning zero-quantum-coherence in MRI signals, entanglement-structured learning paradigms, quantum-inspired computational models, and proposed neural substrates, including microtubules, nuclear spins, and photonic architectures. Although certain findings have been interpreted as consistent with a non-classical structure, no study to date has demonstrated entanglement, long-lived coherence, or collapse dynamics in neural tissue under operational criteria comparable to those used in controlled quantum systems. Replication remains limited, biological entanglement witnesses are not yet established, and nonlinear classical dynamics can reproduce many putative quantum signatures. Accordingly, the decisive question is not whether the brain is quantum, but whether its dynamics exceed the explanatory reach of rigorously defined classical models. Progress hinges on replication, adversarial scrutiny, and operational criteria precise enough to discriminate genuine non-classical correlations from classical complexity. Whether quantum mechanisms ultimately prove necessary or refined classical models remain sufficient, this inquiry compels a deeper understanding of integration, contextuality, and the physical constraints shaping conscious experience. Full article

This study critically engages the ongoing national conversation and policy discourse on land expropriation without compensation in South Africa, offering both analytical insight and a principled position. It presents a qualitative, normative-analytical inquiry grounded primarily in critical documentary analysis of legislation, jurisprudence, and land reform scholarship. The study situates the contemporary debate within South Africa’s broader historical and structural context, where patterns of land dispossession continue to shape persistent spatial inequality and exclusion. The analysis proceeds from the premise that meaningful urban spatial transformation cannot be realised without addressing the structural constraints embedded within existing land governance and spatial planning systems. In this regard, debates around land expropriation are not simply questions of property law or economic policy but are fundamentally connected to broader concerns of spatial justice, economic inclusion, and social equity. These concerns are particularly salient when considering emerging imaginaries of African urban futures, including the notion of the Pan-African City—an urban formation envisioned as spatially integrated, socially inclusive, and reflective of shared continental aspirations for equitable development. The central argument advanced in this study is that unless South Africa gives serious and programmatic attention to land expropriation—moving beyond token or partial policy measures—the structural conditions necessary for such inclusive urban futures will remain unattainable. In this sense, any vision of a Pan-African City within South Africa’s borders risks remaining short-lived, if not altogether specious. To fully engage this debate, the paper unpacks and interrelates the concepts of land expropriation, compensation, expropriation without compensation, economic inclusivity, social equity, spatial justice, and the Pan-African City. These concepts cannot be adequately understood independent of the distinctly South African context—a context shaped by a history of racialised dispossession, deeply entrenched spatial inequalities, and the limitations of both first-generation (restitution, redistribution, tenure reform) and second-generation (e.g., the Spatial Planning and Land Use Management Act) land reform initiatives. The point advanced is unequivocal: without resolving the land question, sustainable housing and human settlement solutions in South Africa will not materialise. Anything less risks entrenching a democratic façade atop an unresolved colonial, segregationist, and apartheid foundation. Full article

This article investigates how women’s relative absence from medieval textual archives can be reconsidered through the study of visual and material culture. Focusing on Mongol and Yuan China and read in relation to The Travels of Marco Polo, it argues that women’s artistic production functioned as a form of embedded counter-archive that preserves traces of participation obscured in narrative sources. Drawing on Black feminist epistemology as a heuristic framework and employing critical fabulation and poetic inquiry as analytical methods, the study interprets silence as a meaningful historical trace rather than a void, and considers silence not as absence but as a structured condition of archival production. Four case studies—Guan Daosheng’s literati bamboo painting, the handscroll tradition associated with Lady Su Hui, imperial phoenix embroidery, and Silk Road textile fragments—demonstrate distinct modes through which women’s presence becomes materially legible: mediated visibility, formal containment, infrastructural anonymity, and circulatory displacement. These “quiet arts” reveal how women’s labour and creativity persisted within and alongside patriarchal inscriptional systems even when textual attribution receded. In dialogue with the shadow silhouettes of contemporary artist Kara Walker, the article further situates these premodern archives within a broader visual language of absence and recovery. Rather than reconstructing lost biographies, it proposes a transdisciplinary method—integrating art history, feminist theory, theology, and poetic inquiry—for reading material culture as a site where historical silence becomes structurally legible. It proposes a transdisciplinary approach that expands art historical methods for interpreting gender, authorship, and archival silence in medieval visual culture. Full article

The relationship between epilepsy, obesity, and metabolic syndrome (MetS) has emerged as a rapidly evolving area of neurobiology inquiry. Emerging evidence suggests that epilepsy extends beyond neuronal hyperexcitability, reframing it as a systemic condition characterized by significant metabolic dysregulation. Converging supports a bidirectional relationship while seizures, antiseizure medications (ASM), and neuroinflammation induce exacerbate potentiate epileptogenesis through shared molecular pathways. At the cellular level, chronic epileptic activity induces oxidative stress, mitochondrial dysfunction, and the activation of microglia and astrocytes. This, in turn, leads to the release of pro-inflammatory cytokines including TNF-α, IL-1β, and IL-6. These mediators traverse the blood-brain barrier (BBB), subsequently modifying insulin signaling, and disrupting glucose homeostasis, which collectively fosters a pro-inflammatory and insulin-resistant environment. Furthermore, antiseizure medications such as valproate can exacerbate these effects by directly impairing insulin receptor signaling and altering adipokine production, ultimately contributing to weight gain and systemic metabolic dysregulation. Obesity and MetS induce neuroinflammatory and excitotoxic states that promote seizure onset via leptin resistance, reduced adiponectin levels, and compromised AMP-activated protein kinase (AMPK) signaling. Emerging evidence emphasizes the gut-brain axis as a crucial regulator in this reciprocal interaction. Dysbiosis, altered microbial metabolites (e.g., short-chain fatty acids), and heightened intestinal permeability facilitate systemic inflammation and BBB disruption, enhancing neuronal excitability. Insulin resistance in the brain disrupts synaptic transmission, impairs mitochondrial biogenesis, and compromises redox equilibrium, perpetuating a pathological cycle linking metabolic stress to epileptic activity. This review synthesizes the cellular, molecular, and systemic pathways connecting epilepsy, obesity, and MetS, and proposes that epilepsy be reconceptualized as a neuro-metabolic disorder. Insights into these convergent pathways provide a rationale for novel therapeutic strategies that simultaneously target seizure control and metabolic regulation, encompassing microbiota modulation, antioxidant therapy, and insulin-sensitizing interventions with the overarching aim of restoring neuro-metabolic homeostasis. Full article

Academia has undergone significant changes recently, such as financial cuts, restructuring, new management policies, precarious employment, and rapid technological advancement. We argue that these shifts can lead to organizational anomie, characterized by deregulation and a breakdown of academia’s normative structure, impacting teaching, learning, and research. In Norway, we conducted qualitative individual interviews with academics (n = 12) and two group interviews with students (n = 13) to explore whether they perceive their academic environment in terms of organizational anomie. Staff participants see the academic environment as transformative but increasingly shaped by economic rationality. They also see a conflict between academic ideals and current work designs and practices, which are highly gamified, reliant on quantified performance measures, and dependent on external funding. They view these changes negatively, casting doubt on whether universities can still fulfil their mission in pursuit of independent critical inquiry. Students report a mismatch between expectations and reality, with some viewing academia instrumentally as a platform to the labor market, reflecting governmental policies to promote employability as a key goal of higher education. Others regard academia as a space for critical inquiry. Although the focus group discussions ultimately converged on the university’s norms and values being a space for critical inquiry, both groups expressed dissatisfaction that the current system fails to fully meet either of these goals. These findings are discussed in light of our understanding of organizational anomie in academia. Full article

Mountain regions across Europe face demographic decline and institutional fragmentation that hinder sustainable tourism development. This study analyzes the territorial governance system of the Val Canale and Canal del Ferro valleys (Italian Alps) with the aim of designing a stakeholder-based Organizational Model (OM) to strengthen sustainable tourism coordination in a peripheral mountain context. A qualitative single-case study approach integrates Stakeholder Analysis, Actor-Linkage Matrix, Appreciative Inquiry, and spatial contextualization to examine relational, institutional, and territorial dynamics. The findings reveal a territory rich in environmental and cultural assets—characterized by protected areas and extensive trail networks—yet constrained by fragmented inter-municipal cooperation and limited supra-municipal coordination. Governance fragmentation, rather than resource scarcity, emerges as the primary barrier to coherent territorial development. In response, the proposed multi-level Organizational Model introduces a valley-level coordination unit designed to institutionalize collaborative governance, enhance administrative capacity, and align local initiatives with regional strategies. By operationalizing stakeholder theory within a structured territorial framework, the study contributes to place-based governance literature and offers transferable insights for peripheral mountain regions facing similar coordination challenges. Full article

Developing reliable Arabic question answering (QA) systems for Islamic fatwas requires datasets that capture the linguistic complexity and multi-step reasoning inherent in jurisprudential inquiries. However, the existing Arabic religious QA datasets primarily focus on direct retrieval or classification, often failing to address the multi-hop reasoning necessary for complex fatwa questions. To bridge this gap, we introduce MAFQA, a benchmark dataset specifically designed for multi-hop Arabic fatwa question answering. MAFQA was constructed from an extensive corpus of authentic fatwa records sourced from authoritative Islamic institutions. The dataset was developed via a semi-automated pipeline that integrates expert-guided identification of complex inquiries with a structured decomposition framework. This framework employs automated reasoning-pattern classification, semantic feature extraction, and template-guided annotation of subquestions and subanswers, followed by rigorous validation to ensure contextual grounding, logical coherence, and structural consistency. To evaluate the utility of the dataset, we conduct an extensive benchmarking study using Arabic-specialized, multilingual, and instruction-tuned language models across two primary tasks: question decomposition (QD) and generative question answering (QA). Performance is assessed using a comprehensive suite of lexical, semantic, relevance, and faithfulness metrics. Experimental results demonstrate that Arabic-specialized models consistently outperform their multilingual counterparts, with AraT5-base and AraBART achieving the highest performance in terms of lexical similarity, semantic alignment, and answer faithfulness. Full article