Search Results (227)

Confederate monuments have long stood at the center of public memory controversies in the United States, and social media platforms increasingly shape how these controversies circulate and receive responses. This study examines Confederate monument controversies across five Reddit communities—r/politics, r/news, r/PoliticalDiscussion, r/AskAnAmerican, and r/AskHistorians—using 2379 posts and 117,556 comments. Combining BERTopic modeling, zero-shot classification, and event-based statistical analysis, it investigates temporal patterns, topic structures, post categories, and responses. Discussion rose most sharply around the Charlottesville rally and the George Floyd event window, with peaks in r/politics and r/news. Topic modeling identified nine stable topics across national political debate, local removal actions, legal disputes, legislative processes, and historical interpretation. Among non-news posts, Seeking Information/Opinion was most common (41.9%), followed by Removal/Implementation Update (20.5%), Resource Sharing/Mobilization (18.9%), and Complaint/Normative Condemnation (18.7%). Protest, removal, and legal-conflict topics generated higher comment volumes and scores, whereas historically oriented topics showed lower interaction intensity. Comment sections were dominated by Explanation or Interpretation, indicating that Reddit discussions extended monument controversies mainly through explanation, comparison, and historical analogy rather than interpersonal conflict. The findings show that Reddit reorganizes public memory controversy through platform rules, community norms, and interactional mechanisms. By connecting event peaks, topic structures, post categories, and comment pathways, the study also interprets Reddit-based monument controversy as a platformed media ritual of attention, classification, and public memory negotiation. Full article

Artificial intelligence (AI) is increasingly recognised as an enabler of sustainability in industrial systems, yet existing research remains fragmented and strongly oriented towards technical optimisation. This systematic literature review examines how AI-enabled sustainability value creation has been conceptualised through the analysis of 75 peer-reviewed articles published between 2020 and 2025. The findings reveal a rapidly expanding field, with 54% of the reviewed studies published in 2024–2025. However, the evidence remains concentrated at process and plant levels: 69% of studies focus on operational applications, and 72% adopt technical, simulation-based, optimisation-oriented, or model-development approaches. Prediction, optimisation, monitoring, adaptive control, and decision support emerge as the dominant AI-enabled mechanisms, while social, governance, resilience, and systemic transformation dimensions remain comparatively underexplored. The review further shows that the literature is stronger in documenting operational sustainability outcomes than in explaining how sustainability value becomes organisationally embedded and sustained across industrial systems. In response, this study proposes a mechanism-based framework linking organisational antecedents, AI-enabled mechanisms, operational transformation, sustainability outcomes, and contextual contingencies. The framework conceptualises AI-enabled sustainability value creation as an organisationally embedded, contingent, and multilevel process rather than a direct outcome of technological deployment alone. Full article

Indigenous peoples (IPs) in the Philippines continue to be targets of stereotypes and prejudice by non-IP Filipinos. The IPs in the Philippines are often described as being dehumanized by their social conditions and by the social practices of the dominant social group. This study explores the subtle dehumanization of three IPs (Igorots, Mangyans, Lumads) by measuring the attribution of traits associated with human nature and whether subtle dehumanization is negatively associated with two diversity ideologies: multiculturalism and polyculturalism. A sample of 534 non-IP Filipinos were asked to rate whether positive traits that were previously ascribed as high or low characteristics of human nature (HN) were typical of Filipinos in general, of Igorots, Mangyans, and Lumads. Participants’ outgroup knowledge of each IP group, social dominance orientation, egalitarianism, essentializing race, polyculturalism, and multiculturalism were measured. The results show that high-HN traits were attributed less to IP groups compared to Filipinos, but low-HN traits were attributed more to Igorots. Three relative dehumanization indices (RDIs) were computed; across all IP groups, RDIs were associated with lower polyculturalism but not multiculturalism. The implications of how polyculturalism relates to less subtle dehumanization of IP groups in the Philippines are discussed. Full article

In the literature on dark tourism, conceptual diversity has often been addressed as a definitional or thematic problem. This study was conducted to identify the dominant epistemological orientations in a focused corpus of 172 English-language, open access articles indexed in Scopus that explicitly use the term dark tourism. An additional aim was to describe the temporal and methodological distributions of these articles. The articles were analysed using qualitative content analysis on a systematically constructed corpus. They were coded in terms of representational/heritage-centred, functional/social practice, motivational/audience-typology, experiential/affective, and activity-based/performative visitor orientations. Thirty-five randomly selected articles were re-coded by a second researcher, who was blind to the initial coding decisions. The percentage agreement for the dominant orientation was 71.4%, with Cohen’s κ = 0.641, and the percentage agreement for method classification was 94.3%, with κ = 0.888. In the post-consensus distribution, the representation/heritage orientation was the largest category, with 54 articles. Motivation, experience, and performative visitor orientations together constituted 52.3% of the corpus. These findings do not indicate a linear paradigm shift but rather a descriptive pattern in which different forms of knowledge production coexist within the corpus examined. This study extends beyond thematic classification by providing evidence for and explaining how dark tourism is constructed as an object of inquiry. The results should be interpreted only with respect to the defined Scopus-based open access corpus. Full article

This paper examines intensive parenting as a dominant cultural model within contemporary Anglo-American and Western European parenting cultures, situating it within late-capitalist demands for individual responsibility, optimisation, and future-oriented risk management. This theoretical and discourse-analytic paper advances a Lacanian account of intensive parenting as a libidinal formation structured through fantasy, desire, and jouissance. Drawing on Lacanian psychoanalysis, the analysis explores how parental investment in intensive parenting is sustained not only through social norms and institutional pressures but through affective and unconscious attachments that render these demands compelling even when they are experienced as exhausting and exclusionary. While existing feminist and sociological scholarship has documented the classed, gendered, and racialized dimensions of intensive parenting, less attention has been paid to the psychic mechanisms through which parents become attached to these norms. This paper addresses this gap by examining how fantasies surrounding the child’s future organise parental desire and enjoyment. Focusing on fantasy, the object-cause of desire, and jouissance, the paper shows how intensive parenting offers moral coherence and reassurance under conditions of uncertainty while remaining structurally impossible to fulfill. These libidinal investments translate market rationalities into intimate life, shaping parental subjectivity and sustaining intensive parenting as a dominant norm. The analysis suggests that this persistence is tied not only to social regulation but to the way desire is organised around an unattainable future object. The paper concludes by reflecting on how this analysis reframes relational modes of being in parenting, suggesting that attending to lack, contingency, and relational openness may support forms of care that move beyond imperatives of control, productivity, and future optimisation. Full article

Energy Geographies has a unique position at the intersection of geospatial and social science, and it now faces a defining methodological development with the rapid rise in Geospatial Artificial Intelligence (GeoAI). This paper examines where GeoAI has and has not been applied within energy research through two bibliometric analyses using the Dimensions database. The first establishes an updated picture of energy geographies scholarship from 2020 to 2026, mapping the field’s current priorities and geographic distribution as a baseline for evaluating GeoAI’s role. The second conducts a bibliometric analysis of GeoAI-specific energy publications from 2020 to 2026, which reveals significant GeoAI Application Gaps: a heavy concentration in energy extraction and production research and in renewable energy siting and grid optimization, while energy transition, justice, and the energy problems of underrepresented regions remain substantially underserved. GeoAI energy research is also more geographically concentrated than the broader field, dominated by a small number of countries, raising questions about the applicability of these tools to the energy challenges facing the rest of the world. We argue that this gap reflects a pattern of problem selection as much as technological limitation, and that energy geographers are well positioned to redirect the development of this new field. We outline three directions for future research: developing Explainable GeoAI to ensure transparency and accountability, expanding geographic coverage to address data biases that favor a small set of well-resourced countries, and confronting the computational energy paradox of carbon-intensive AI applied to sustainability-oriented research. Full article

This qualitative content analysis investigates how preservice teachers (PSTs) curate primary sources in early childhood and elementary social studies contexts, revealing the ideological implications of their instructional choices. Drawing on 347 selections submitted by 103 PSTs in a scaffolded, inquiry-based assignment, the study analyzes whether selections perpetuate dominant cultural narratives or reflect counternarratives and culturally sustaining practices. Findings indicate that while nearly half of all sources aligned with White, male, Eurocentric perspectives, a significant subset engaged historically marginalized voices, suggesting emergent but uneven commitments to inclusive representation. Selections varied in depth of reflection, often shaped by archival access, curricular constraints, and unexamined pedagogical habits. Grounded in Critical Educational Theory, Reflective Teaching Practices, and Culturally Sustaining Pedagogy, the study highlights the ideological weight of source selection and the need for teacher preparation programs to scaffold reflective, justice-oriented engagement with historical materials. These findings contribute to ongoing conversations about equity, civic responsibility, and culturally responsive teaching in early social studies education. Full article

This article studies the relationship between social dominance orientation, right-wing authoritarianism, spirituality, religiosity, and economic system justification in the general population of the Autonomous City of Buenos Aires, Argentina, in a sample of 843 participants (52% men and 48% women) aged 18 to 88 years (M_age = 46; SD = 15.78). The study contextualizes social psychological approaches to system justification through a review of sociological literature on domination, religion, and legitimacy. According to the results, system justification is positively associated with social dominance orientation (r = 0.40), right-wing authoritarianism (r = 0.56) and dimensions of religiosity, particularly extrinsic religious orientation (0.12 ≤ r ≤ 0.21). Regression analyses indicated that social dominance orientation, right-wing authoritarianism, and extrinsic religious orientation were the variables most strongly associated with economic system justification. Full article

In the context of rapid urbanization, the traditional spatial fabric and cultural connotations of historic districts are increasingly threatened, leading to growing problems such as architectural homogenization and weakened public identity. As an important dimension linking spatial form and public cognition, urban memory has gradually become a key entry point for the study of historic district conservation and renewal. At the same time, the large volume of user-generated content accumulated on social media provides a new data foundation and research pathway for architectural and urban memory studies. Taking the Sajinqiao area in Xi’an as the study area, this study uses Weibo texts containing the keyword “Sajinqiao” from 2018 to 2025 as the basic dataset. A Chinese-RoBERTa pretrained language model was employed to identify and screen high-focus Weibo samples, and a classification framework of five types of memory elements was constructed, including roads, areas, nodes, business units, and food entities. On this basis, memory elements were extracted, standardized, and quantified in terms of memory intensity to analyze their evolutionary characteristics. The results show that, first, urban memory in the Sajinqiao area exhibited marked stage-based fluctuations during the study period. Second, business- and consumption-related elements remained dominant in the type structure over the long term. Third, core urban memory was primarily supported by local food entities and related business units, indicating that public memory gradually shifted from experience-oriented memory to destination-oriented memory. This study provides an operational framework for the identification, quantification, and dynamic assessment of urban memory in historic districts, and offers empirical support for memory-oriented conservation and renewal strategies in the Sajinqiao area and similar historic districts. Full article

Small-scale island communities whose livelihoods depend on aquaculture are increasingly vulnerable under interacting climatic and non-climatic stressors. Conventional indicator-based assessments are useful for describing the level of vulnerability, but many empirical assessments remain less able to explain how multiple stressors are mediated through local social–ecological structures and feedback processes to produce different vulnerability patterns. This study aims to explain how vulnerability is formed in island aquaculture communities by linking social–ecological system structures with vulnerability processes and by examining empirically informed feedback pathways. Drawing on evidence from three island aquaculture communities in southeastern China, household survey data were first used to classify community types through hierarchical clustering. Semi-structured interviews, field observations, and documentary materials were then qualitatively coded to develop empirically informed conceptual causal loop diagrams (CLDs) for each type. Key variables and recurring feedback pathways were identified through loop-based structural analysis and cross-case comparison. The analysis indicates that vulnerability formation in island aquaculture communities is associated with recurring reinforcing feedbacks within local social–ecological system structures, through which multiple climatic, ecological and socio-economic stressors are translated into differentiated vulnerability outcomes. Across the case communities, resource overexploitation and marine pollution reinforce an ecology–livelihood degradation loop, while labor outmigration erodes social capital, disrupts intergenerational knowledge transmission, and weakens collective action and adaptive capacity, exacerbating socio-ecological vulnerability. At the same time, dominant stressors, key drivers, and feedback configurations vary across community types, generating divergent vulnerability trajectories and highlighting the context-dependent nature of vulnerability dynamics. These results suggest that governance interventions targeting isolated stressors or relying on static vulnerability analyses are insufficient where reinforcing feedbacks dominate. Effective adaptation strategies should explicitly target critical feedback pathways and strengthen stabilizing processes. By integrating social–ecological systems thinking with vulnerability analysis, this study provides a feedback-oriented approach for diagnosing vulnerability formation and supports more feedback and context-sensitive governance in small-scale island aquaculture communities. Full article

This study examines how the Internet of Things (IoT) acts as a key enabler of sustainability in industrial production systems within the Industry 4.0 paradigm, addressing the fragmented understanding of the mechanisms linking digital technologies to environmental, operational, and emerging human-centric outcomes. A systematic literature review was conducted following PRISMA 2020 guidelines using the Web of Science Core Collection. After applying explicit inclusion and exclusion criteria, 69 peer-reviewed studies published between 2016 and 2026 were analyzed through qualitative thematic synthesis and comparative analysis. The findings reveal that IoT functions as a foundational digital infrastructure enabling real-time monitoring, operational transparency, and data-driven decision-making in production environments. Four dominant application domains are identified: (i) energy and resource efficiency, (ii) production monitoring and control, (iii) predictive maintenance and asset management, and (iv) emerging human-centric production systems aligned with Industry 5.0. While IoT consistently improves operational reliability and resource efficiency, its contribution to the social dimension of sustainability remains comparatively underdeveloped. This study advances the existing literature by providing a mechanism-oriented synthesis that explains how IoT-enabled infrastructures generate sustainability outcomes across production systems. Furthermore, it establishes a conceptual bridge between Industry 4.0 digitalization and the transition toward human-centric and resilient manufacturing models associated with Industry 5.0. From a practical perspective, the results highlight that IoT adoption contributes to reducing energy consumption, optimizing resource utilization, and enhancing operational performance, while also supporting safer and more adaptive working environments. However, challenges related to data integration, workforce adaptation, and digital capability gaps persist, underscoring the need for inclusive and strategically aligned digital transformation processes. Full article

The intensification of the global ecosocial crisis has exposed the structural incompatibility between continuous economic growth and the biophysical limits of the planet, prompting increasing interest in degrowth as a framework for ecological sustainability and social justice. Despite the growing development of degrowth theory within ecological economics and political ecology, its educational implications remain underexplored. This article examines the role of education in the transition toward post-growth societies through a critical review of the literature and a conceptual analysis informed by critical pedagogy, ecofeminism, environmental education, and degrowth scholarship. The study identifies how contemporary educational systems reproduce growth-oriented subjectivities through human capital theory, neoliberal governance, competitiveness, and productivist curricular frameworks. The analysis demonstrates that dominant models of sustainability education frequently remain embedded within the assumptions of green growth and fail to address the structural drivers of ecological degradation and social inequality. As a result, the article develops an integrated framework for a pedagogy of degrowth structured around ecosocial literacy, democratic participation, care ethics, cooperation, critical civic engagement, curriculum transformation, technological sovereignty, and commitment to the commons. The main contribution of the study lies in articulating a comprehensive educational model that connects pedagogical transformation with broader processes of post-growth social change, positioning education not merely as a tool for environmental awareness but as a strategic arena for cultivating the values, capacities, and collective agency required for ecosocial justice. The findings suggest that a transition toward sustainable and equitable societies requires a profound reorientation of educational aims, contents, institutions, and practices beyond the paradigm of economic growth. Full article

Social media platforms increasingly function as informal education systems for programming learning, yet the systemic support structures these environments provide remain poorly understood. We analyzed 40,004 comments from programming tutorial videos on a major social media platform (2016–April 2025) to identify patterns of learner support needs at scale. Using BERTopic, we identified twelve discussion themes. We then consolidated these themes into a learner-needs typology based on their dominant support functions: instructional-oriented needs, operational support needs, and knowledge-constructionneeds. We mapped this typology onto the Community of Inquiry (CoI) framework to assess its explanatory coverage. This mapping revealed a critical systemic gap. Operational support needs, covering environment configuration, tool integration, dependency management, and technical troubleshooting, constituted the largest category (44.53% of theme-level discourse), exceeding both knowledge-construction needs (28.42%) and instructional-oriented needs (26.95%). Learners repeatedly described these infrastructure-level challenges as disrupting their attempts to engage with content, execute code for testing ideas, and coordinate with peers, yet these operational readiness needs are not fully specified by CoI’s traditional presences. Social presence did not emerge as a standalone theme at the topic-modeling level; rather, social cues were often embedded within task-oriented troubleshooting. Based on these findings, we propose Technical Presence as a context-sensitive extension to the CoI framework, defined as the extent to which a learning community enables operational readiness through accessible infrastructure support and collaborative troubleshooting. As an infrastructural support condition, Technical Presence supports operational readiness within tool-dependent, practice-based learning: when learners report infrastructure failure, the conditions for enacting instructional design, cognitive inquiry, and peer collaboration are correspondingly weakened. These findings carry implications for content creators, platform developers, and education system designers seeking to strengthen the infrastructural foundations of technology-enhanced learning at scale. Full article

Soil vulnerability is commonly assessed using environmental indicators; however, the lack of systematic and continuous monitoring often leads to incomplete and fragmented data, particularly in surface coal mining areas affected by potentially toxic element (PTE) contamination. Existing studies mainly focus on impact assessment, with limited emphasis on structured decision-support frameworks for selecting optimal soil protection strategies. This study addresses this gap by proposing an integrated hybrid decision-making framework that combines the Analytic Hierarchy Process (AHP), Sustainability Balanced Scorecard (SBSC), and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The main contribution lies in integrating strategic sustainability perspectives (SBSC) with quantitative multi-criteria methods (AHP and TOPSIS), enabling a transparent and consistent evaluation of soil protection strategies across environmental, economic, technical, and social dimensions. The framework was applied to the Kostolac mining and energy complex in Serbia as a representative case study, using data from the State of the Environment Report as the basis for expert evaluation. The results identify risk reduction and environmental effectiveness as the dominant criteria, while the Progressive Strategy (SBSC) achieved the highest ranking. Sensitivity analysis confirmed the robustness of the model. From a policy perspective, the findings support prioritizing sustainability-oriented and risk-reduction strategies in mining regulations and investment planning. Full article

Cinematic representations of mental health operate at the intersection of science, culture and visual meaning, while medical academic discourse plays an important role in shaping how such representations are conceptualized. This study examines how the PubMed-indexed literature (2010–2025) engages with mental health in relation to narrative film and related screen media, combining bibliometric mapping with interpretive analysis. Through a structured PubMed query and VOSviewer co-occurrence analysis, this study identifies 5292 unique terms, of which 530 meet the minimum frequency threshold. Comparison between low- and high-frequency maps reveals a shift from lexical diversity to a consolidated biomedical core centered on classification, diagnosis and measurable affect. Six clusters are identified (neuro-affective, educational stigma, media–behavioral, neuropharmacological–technological, perceptual–emotional and pandemic-related), which together structure the field’s dominant semantic orientations. The findings indicate three main patterns: the predominance of standardized biomedical language, the limited visibility of intersectional categories (e.g., gender, race, identity) at the level of indexed metadata, and a gap between visual processes and narrative meaning. While individual studies often engage with cinematic complexity, this dimension is only partially reflected in the dominant lexical structure. Building on these results, a cluster-informed conceptual framework for film-based medical education is proposed, in which narrative film can support complementary forms of clinical, social and interpretive learning. This study contributes to the field of Medical Humanities by demonstrating that medical discourse not only reflects but also structures the visibility of mental health in relation to screen media, while highlighting the need for more integrated approaches that connect biomedical knowledge with narrative and cultural understanding. Full article