Search Results (375)

Transnational youth frequently navigate multiple languages and continually negotiate not only affiliation, but also the legitimacy of the languages they use within changing linguistic hierarchies. However, their educational experiences are often framed through fragmented classroom practices, deficit-based assessments, and nationally bounded curricular frameworks. In this paper, I respond by theorizing Fictional Linguistic Landscapes (FLL) as a transdisciplinary pedagogical approach that utilizes fiction and participatory cultural practices to position language learning as a form of semiotic design, critical inquiry, and identity (re)work. Grounded in linguistic landscape studies, multiliteracies pedagogy, and fan-based meaning-making, FLL positions learners as world-builders and allows them to experiment with visibility, hierarchy, and language(s) in safe fictional environments. This study outlines the four-phase FLL in Second Language Teaching and Learning (L2TL) cycle and provides five pedagogical design spaces to address issues of raciolinguistic valuation, deficit institutional representations, affective harm, peer-level marginalization, and translocal or return migrant identity negotiation. Rather than viewing imagination as an outcome of teaching, FLLinL2TL structures it as a necessary process for learning, linking creative production to explicit linguistic objectives and reflective justification. I conclude by discussing implications for classroom practice, teacher education, and future research on the potential of the FLLinL2TL approach in transnational education research. Full article

Public debates about psychoactive substances have traditionally been organized around the pharmacology of compounds and the institutional control of supply. In digitally mediated societies, however, the pathways through which people encounter psychoactives are increasingly informational: search engines, recommender systems, social platforms, and—distinctively—conversational AI. These systems do not merely deliver neutral facts. They rank, frame, personalize, and conversationally validate claims in ways that can shape perceived norms, acceptable risk thresholds, and willingness to seek help. This opinion advances the concept of AI-mediated exposure to capture how algorithmic curation and interactive dialogue become upstream determinants of psychoactive-related harms and benefits across the continuum from everyday medicines to non-medical use. From a social-scientific ethics perspective, the central question is not whether AI is “good” or “bad,” but what obligations apply when AI performs interpretive authority in contexts characterized by vulnerability, stigma, and unequal access to trusted expertise. The paper argues for an ethics-centered governance framework grounded in four commitments: epistemic responsibility (how claims are generated, warranted, and communicated), relational responsibility (how users are treated in moments of uncertainty, distress, and stigma), distributive justice (who benefits and who bears risk under unequal conditions), and accountability (how behavior is evaluated, contested, and corrected over time). The aim is to treat conversational AI as a public-facing institution whose design choices must be ethically legible and publicly contestable, oriented toward harm reduction without intensifying surveillance, moralization, or inequity. Full article

This qualitative research examines the systemic dynamics of the abuse of consecrated women in the Loyola Community, analyzing the allegations against the influential sacral artist and theologian Marko Ivan Rupnik within broader scholarly debates on abuse in Catholic ecclesial contexts. Drawing on survivor testimonies, the study explores how clericalism and forms of spiritual authority were instrumentalized within this specific community to produce a sequential chain of harm encompassing sexual, psychological, and spiritual violence against consecrated women. The analysis demonstrates how vulnerance—the systemic capacity to produce harm—is engineered through institutional configurations and theological distortions. This condition normalizes exploitation and silences survivors over extended periods. Moving beyond individual pathology, the study critically examines systemic power asymmetries, hermeneutical injustice, and forms of institutional betrayal that emerge when the protection of religious reputation takes precedence over accountability and human dignity. Finally, the article highlights the significance of public testimony and digital movements such as #NunsToo in disrupting cultures of silence and contributing to the restoration of epistemic justice for survivors. Full article

The COVID-19 pandemic posed unprecedented challenges, requiring compliance with public health measures. Notably, guilt is a powerful motivator for rule adherence; however, different types of guilt could have fueled the decision to stay home. This study investigated how guilt propensity influenced Italians’ self-reported motivations for adhering to containment rules. The propensity to different types of guilt, namely deontological and altruistic, was assessed in a total of 393 participants (261 females, 66.4%; 132 males, 33.6%; M age = 34.4, SD = 12.6) in May 2020, between the first and the second phases of Italian lockdown. The survey assessed four guilt dispositions—Moral Norm Violation (MNV), Moral Dirtiness (MODI), Harm-based guilt (HARM), and Empathy-based guilt (EMPATHY)—alongside fear of COVID-19, trust in authorities, and motivations for rule compliance (e.g., protecting one’s own and others’ well-being, respecting authorities, and avoiding sanctions). MNV emerged as a positive predictor of prosocial, authority-based and personal motivations, whereas MODI predicted lower prosocial motivation. HARM selectively predicted prosocial motivation and was negatively associated with authority-based motivations, while EMPATHY negatively predicted self-focused motivations. Moderation analyses revealed small but significant interaction effects, indicating that fear of COVID-19 slightly amplified the influence of EMPATHY and attenuated the effect of HARM, whereas trust in authorities strengthened the link between EMPATHY and prosocial compliance and reduced the association between MNV and prosocial motivations. These findings suggest that compliance during the pandemic was shaped by distinct emotional–moral pathways and that the motivational impact of guilt depends on perceived threat and institutional trust, highlighting the relevance of specific guilt profiles in promoting cooperative and health-protective behaviors. Full article

Human–AI collaboration (HAIC) increasingly mediates high-risk decisions in public and private sectors, yet many documented AI harms arise not only from model error but from breakdowns in joint human–AI work: miscalibrated reliance, impaired contestability, misallocated agency, and governance opacity. Conventional explainable AI (XAI) approaches, often delivered as static one-shot artifacts, are poorly matched to these sociotechnical dynamics. This paper is a position paper arguing that explainability should be reframed as a harm-mitigation infrastructure for HAIC: an interactive, iterative capability that supports ongoing sensemaking, safe handoffs of control, governance stakeholder roles and institutional accountability. We introduce co-explainers as a conceptual framework for interactive XAI, in which explanations are co-produced through structured dialogue, feedback, and governance-aware escalation (explain → feedback → update → govern). To ground this position, we synthesize prior harm taxonomies into six HAIC-oriented harm clusters and use them as heuristic design lenses to derive cluster-specific explainability requirements, including uncertainty communication, provenance and logging, contrastive “why/why-not” and counterfactual querying, role-sensitive justification, and recourse-oriented interaction protocols. We emphasize that co-explainers do not “mitigate” sociotechnical harms in isolation; rather, they provide an interface layer that makes harms more detectable, decisions more contestable, and accountability handoffs more operational under realistic constraints such as sealed models, dynamic updates, and value pluralism. We conclude with an agenda for evaluating co-explainers and aligning interactive XAI with governance frameworks in real-world HAIC deployments. Full article

Little research has examined how often biomedical trainees encounter mistreatment in a single day or how such momentary experiences may undermine engagement in training. To address this gap, we investigated the prevalence and short-term consequences of daily sexual harassment, racial mistreatment, and incivility among graduate students and post-doctoral fellows in U.S. biomedical programs. In Study 1, 404 National Institutes of Health-funded trainees completed a two-wave survey assessing mistreatment, mood, and program attitudes across two 24 h periods separated by 10 days. On either day, 36.9% of participants experienced or observed at least one mistreatment episode, with no differences by gender or underrepresented minority status. Day 1 mistreatment was significantly negatively associated with program attitudes 10 days later, suggesting short-term derailment effects. In Study 2, 21 participants responded to true accounts of peers’ mistreatment to describe their emotional reactions and expectations of mentors. Trainees reported anger, disgust, and betrayal, and emphasized the need for mentors to acknowledge these harms, intervene appropriately, and offer support. This study provides the first evidence of single-day mistreatment prevalence among biomedical health trainees and demonstrates that even brief exposures can degrade training program attitudes. Findings underscore the need for improved mentor training and institutional resources to protect and support trainees. Full article

Adolescents are heavy users of digital media but often lack critical skills, increasing their vulnerability to harmful online content. The integration of game elements into learning and training offers a promising strategy to support positive behavioural change and strengthen adolescents’ skills. This paper describes the development of a conceptual framework for Dress-DIGITARIAN, a serious game aimed at improving health literacy, coping skills, and self-esteem, grounded in Self-Determination Theory (SDT). The framework was constructed to generate higher-order understanding through a multi-level process: analyzing general theory (SDT), integrating mid-range models (the Octalysis framework), and incorporating empirical insights derived from two data collection phases with the target population. This integrative approach informed and guided the game’s design through participatory methods. Developed through collaboration between schools and research institutions, this approach bridges theory and practice by aligning game mechanics with adolescents’ psychological needs. It also underscores the value of involving adolescents in research, not only to enhance scientific rigour but also to empower them as agents of change capable of contributing to health promotion policies and educational innovation. This study does not report the results of a completed intervention or outcome evaluation, which will be conducted in the sixth phase at the end of the current school year. Future research is needed to assess the model’s effectiveness and scalability and to identify areas for further refinement. Full article

Artificial intelligence (AI) is rapidly transforming virology by strengthening pandemic preparedness, enhancing our molecular understanding of virus–host interactions, and accelerating the discovery and development of novel antiviral therapies. Yet, the same technologies also pose urgent biosecurity risks, particularly by enabling the development of bioweapons or identifying strategies that maximize harm. This paper presents a critical content analysis of current and emerging AI applications in virology, including tools used to detect synthetic alterations in viral genomes, assess the severity of new variants, and design clinical vectors for gene therapy. It also highlights the potential for misuse, whether intentional or due to poor data quality and flawed model training. Drawing on case studies, public databases, and documented applications from research institutions and biotechnology firms, the analysis shows that AI can integrate large datasets to reduce reliance on animal testing in drug development, improve therapeutic precision, and allocate resources more effectively during outbreaks. However, the increasing accessibility of AI tools and genomic data also creates vulnerabilities, especially as models become capable of autonomously interpreting the scientific literature and mining bioinformatics databases. To address this dual-use dilemma, the paper proposes targeted and adaptable policy recommendations for governments, research institutions, and commercial biotech firms, emphasizing pre-emptive oversight, responsible innovation, and ethical AI deployment. These recommendations are designed for immediate relevance yet flexible enough to evolve alongside the expanding role of AI in global health. Full article

Background/Objectives: The International Study Group for Pancreatic Surgery has recently defined post-pancreatectomy acute pancreatitis (PPAP), stating that sustained postoperative hyperamylasemia (POH) for at least 48 h is a pivotal criterion. However, the clinical relevance of POH and PPAP following distal pancreatectomy remains uncertain. This study compares two PPAP definitions differing in POH criteria. Methods: We retrospectively analyzed all patients who consecutively underwent distal pancreatectomy at our institution (2010–2023). PPAP diagnosis required clinical symptoms, characteristic CT findings, and either sustained POH ≥ 48 h (standard group) or transient POH less than 48 h (modified group). Outcomes were compared between definitions. Results: Among 207 patients included, in the standard group, PPAP was diagnosed in 12 (5.8%), and in the modified group in 27 (13.0%) patients. Independent of the applied POH criteria, PPAP was associated with the occurrence of clinically relevant postoperative pancreatic fistulas (standard: 66.7% vs. 23.7%; p < 0.001; modified: 44.4% vs. 23.7%; p = 0.027). Post-pancreatectomy hemorrhage and major complications (Clavien–Dindo grade ≥ III) were also significantly more frequent in patients with PPAP. This was mirrored by a significantly longer length of stay and higher costs. However, in the standard group, PPAP more often resulted in pancreas-specific and major complications compared to the modified group. Of note, in the standard group, only 50% of patients with POH progressed to PPAP, and one-third of patients suffering from PPAP did not develop harmful sequelae. Conclusions: PPAP is an uncommon, however clinically relevant complication following distal pancreatectomy that is better captured using the standard POH definition. Still, further stratification is needed to aid in the prediction of the clinical course. Full article

Digital harassment is an increasing challenge in higher education, with implications for students’ psychological well-being, perceived safety, and engagement in digital learning. As artificial intelligence (AI) increasingly mediates communication, visibility, and interaction across educational platforms, students’ exposure to online harm is shaped not only by individual behaviour but also by algorithmically structured interaction environments. Understanding these conditions is essential for protecting student well-being and supporting sustainable participation in AI-enhanced learning. This study examines university students’ exposure to digital harassment in AI-mediated learning environments using an expanded Unified Theory of Acceptance and Use of Technology (UTAUT) framework. Survey data were collected from 2185 students, including Saudi nationals and international students enrolled in Saudi Arabian universities, representing Saudi Arabia and 32 other developing and emerging countries (33 countries in total). The model analyses associations among technological literacy, cybersecurity awareness, social media engagement intensity, digital identity visibility, AI-mediated interactions, and cultural norms, while also accounting for disciplinary and cultural context differences. The results indicate that AI-mediated interactions are most strongly associated with exposure to digital harassment. Higher social media engagement, more restrictive cultural norms, and greater visibility of digital identity are associated with increased exposure, whereas technological literacy and cybersecurity awareness are associated with lower reported exposure. Furthermore, greater exposure to digital harassment is linked to poorer mental health outcomes and reduced continuity in e-learning participation. Overall, the findings suggest that digital harassment in AI-driven educational settings is a structural sociotechnical issue associated with greater embeddedness in algorithmically mediated learning environments, rather than an isolated behavioural issue. The study highlights the need for responsible AI governance, enhanced digital literacy education, and culturally responsive institutional policies to support inclusive and sustainable higher education. Full article

This study aims to explore perceptions among students at Jordanian universities regarding “wasta,” defined as the use of social relations or kinship ties to pressure faculty members into granting them undeserved academic privileges, and to examine the impact of these perceptions on their academic behaviors and attitudes toward their institution. The study uses Travis Hirschi’s Social Bond Theory, which posits that the strength of social bonds is determined by four key elements: attachment, commitment, involvement, and belief. The researchers designed a survey using a proportionally stratified random sample of 748 students from two universities in the south of Jordan. The data were collected using a questionnaire whose validity and reliability were deemed suitable for analysis. The findings reveal a varying degree of erosion in social bonds as follows: while students expressed a rejection of wasta on ethical grounds, the involvement of others in such behavior to gain unearned academic advantages undermined their sense of belonging to the university. Participants also indicated that their peers’ reliance on wasta devalued their individual efforts and weakened trust in the fairness of the educational institution. Furthermore, students’ motivation to participate in campus activities was lower when they perceived that opportunities were granted based on connections rather than merit, while statistical significance was observed only for the involvement dimension in favor of the public university. Last, some students saw wasta as a practical resource in the absence of institutional justice, even if they recognized the harm it causes to academic integrity and the value of university credentials. The findings highlight the importance of addressing wasta within academic institutions by strengthening transparent decision making and academic integrity safeguards to enhance fairness and strengthen trust. Full article

Background: Rare cancers combine low incidence with high biological heterogeneity and multi-institutional care trajectories. These features make single-center learning structurally incomplete and render pathway fragmentation a dominant driver of preventable harm, variability, and waste. In this context, care quality is best understood as a property of pathway integrity across routing, diagnostics (imaging/biopsy planning), multidisciplinary intent-setting, definitive treatment, and surveillance—rather than as a department-level attribute. Objective: To define a pragmatic, transferable operating blueprint for a rare-cancer Learning Health System (LHS) that turns routine care into continuous, auditable learning under explicit governance, while maintaining claims discipline and protecting measurement validity. Approach: We synthesize an implementation-oriented operating model using the Swiss Sarcoma Network (SSN) as an exemplar. The blueprint couples clinical governance (Integrated Practice Unit logic, hub-and-spoke routing, auditable multidisciplinary team decision systems) with an interoperable real-world-time data backbone designed for benchmarking, pathway mapping, and feedback. The operating logic is expressed as a closed-loop control cycle: capture → harmonize → benchmark → learn → implement → re-measure, with explicit owners, minimum requirements, and failure modes. Results/Blueprint: (i) The model specifies a minimal set of data primitives—time-stamped and traceable decision points covering baseline and tumor characteristics, pathway timing, treatment exposure, outcomes and complications, and feasible longitudinal PROMs and PREMs; (ii) a VBHC-ready, multi-domain measurement backbone spanning outcomes, harms, timeliness, function, process fidelity, and resource stewardship; and (iii) two non-negotiable validity guardrails: explicit applicability (“N/A”) rules and mandatory case-mix/complexity stratification. Implementation is treated as a governed step with defined workflow levers, fidelity criteria, balancing measures, and escalation thresholds to prevent “dashboard medicine” and surrogate-driven optimization. Conclusions: This perspective contributes an operating model—not a platform or single intervention—that enables credible improvement science and establishes prerequisites for downstream causal learning and minimum viable digital twins. By distinguishing enabling infrastructure from the governed clinical system as the primary intervention, the blueprint supports scalable, learnable excellence in rare-cancer care while protecting against gaming, inequity, and inference drift. Distinct from generic LHS or VBHC frameworks, this blueprint specifies validity gates required for rare-cancer benchmarking—explicit applicability (“N/A”) rules, denominator integrity/capture completeness disclosure, anti-gaming safeguards, and escalation governance. These elements are critical in rare cancers because small denominators, high heterogeneity, and multi-institutional pathways otherwise make benchmarking prone to artifacts and unsafe inferences. Full article

Background/Objectives: Healthcare workplace violence has evolved into a global crisis, significantly impacting high-risk specialties. While the “Second Victim Phenomenon” (SVP) is well-established for trauma following medical errors, the specific psychological trauma resulting from intentional external aggression remains conceptually under-defined. This study aims to introduce and define the “Violence Victim Phenomenon” (VVP) by exploring the lived experiences of anesthesiology and intensive care specialists, providing a theoretical framework for this distinct clinical state. Methods: A qualitative study was conducted with ten anesthesiology and intensive care specialists using a semi-structured focus group discussion. The session was subjected to thematic analysis using MAXQDA software. The analysis focused on the nature of violence encountered, psychological and professional impacts, and the role of institutional support systems. Results: The thematic analysis identified six core dimensions of VVP: forms and trajectories of violence, vulnerability amplifiers, psychological and occupational sequelae, coping and containment strategies, expectations of institutional support, and pandemic-specific intensifiers. Participants described a trauma profile comparable to SVP in severity but distinct in its etiology, rooted in intentional harm and “institutional abandonment.” VVP is characterized by a profound sense of vulnerability, loss of professional dignity, and a perceived lack of legal and administrative protection. Conclusions: VVP represents a critical gap in current academic literature. Defining VVP allows for a more nuanced understanding of the trauma healthcare workers face due to intentional aggression. To mitigate VVP, healthcare institutions must move beyond basic security measures toward a “just culture” that provides structured psychological, legal, and managerial support, recognizing clinicians as victims of systemic failure. Full article

This article examines how Turkey’s 2024 amendment to the Animal Protection Law reshapes volunteer caregiving for free-roaming dogs in Istanbul by reconfiguring the practical conditions under which care is sought, coordinated, and sustained. Drawing on 43 in-depth interviews and five months of fieldwork (1 July–30 November 2025), this study combines constructivist grounded theory with reflexive thematic analysis to trace how legal change is encountered through everyday governance interfaces and how these encounters reorganize caregivers’ routines, capacities, and moral worlds. The analysis yields four interlocking findings. First, caregivers describe a temporality of “living in pre-loss,” in which anticipated removal, disappearance, and uncertain outcomes generate chronic vigilance, anticipatory grief, and ambiguous loss without closure. Second, caregiving is increasingly recalibrated as risk management: commitments persist, but intervention narrows through heightened exposure to complaints, reputational scrutiny, and fears that help-seeking may backfire. Third, institutional pathways—hotlines, shelter intake, and municipal responses—are experienced as discretionary and opaque, producing a fluctuating threshold between assistance and harm that conditions whether caregivers engage official systems at all. Fourth, this study identifies a recurring veterinary bottleneck at the street–clinic–recovery handover, where limited short-term holding capacity stalls treatment trajectories and displaces recovery labor into precarious domestic and informal spaces. Together, these findings argue that caregiver well-being is not ancillary to animal welfare governance but constitutive of it. It shapes the continuity of monitoring, the timeliness of intervention, and the everyday mediation through which coexistence is maintained under intensified legal and political pressure. Full article

This systematic literature review provides an extensive synthesis of the empirical, theoretical, and policy research on Black students with disabilities in higher education in Canada and the United States. Grounded in the Preferred Reporting Items to Systematic Reviews and Meta-Analyses approach, this study incorporates the perspectives of critical race theory, Black feminist thought, disability studies in education, and disability critical race theory to examine racism and ableism as mutual, structuralizing forces. The results indicate that Black students with disabilities experience a spectrum of systemic marginalization across the stages of education, including racialized academic tracking, Eurocentric and inaccessible curriculum, unequal accommodation practices and microaggressions. These barriers are intensified by financial precarity, mental health inequities, and a radical absence of representation in faculty and institutional administrations. The results suggest that institutional approaches frequently isolate race and disability, culminating in policies that overlook intersectional harm. This study concludes that transformative changes must extend beyond compliance-driven diversity and access programs to encompass justice-driven intersectional reforms in pedagogy, policy, funding, and institutional culture. The findings underscore the need to prioritize Black students with disabilities when redesigning higher education systems to foster substantive equity and inclusion. Full article