مطالب

Care ethics emphasizes the incessant nature of the work of care. The other-oriented focus of care work and the asymmetric relation between the one-caring and the cared-for entails a normative commitment to a cyclical conception of living time on the part of the one-caring. Moreover, in care, we must think of the time of the self as intertwined with the time of the other, thus constituting a mutual temporality. However, from the perspective of a feminist phenomenology of time, potential moral harms can be identified in the temporal structure of care, which may cause caring time to degenerate into uncaring time for the one-caring. To avoid such a predicament, it is imperative to develop an emancipatory ethics of time at the heart of the relational ontology of care. I argue that when various modalities of living time in care sediment into a coherentist ontology of time, only then is there a degradation into uncaring time. To positively reconstruct a radical notion of caring time, we must build a disruptive ontology within our conception of caring time, which highlights the significance of rupture, dissonance, disruption, and distortion within the everydayness of care. The argument in the paper serves a normative purpose since it draws our attention to what we owe morally to the one-caring in terms of their time. My analysis weaves together care ethics, feminist phenomenology and feminist writing from India through a philosophical engagement with Amar Jiban by Rassundari Devi.

This comparative study aimed to examine the differences in job burnout, psychological resilience, and altruism between teachers in regular and special education schools in Kerman Province, as well as to explore the relationships among these variables. The research employed a causal-comparative design and included a sample of 80 teachers—40 from special education schools and 40 from regular schools. Data were collected using three standardized instruments: the Maslach Burnout Inventory (MBI), which assesses emotional exhaustion, depersonalization, and reduced personal accomplishment; the Connor-Davidson Resilience Scale (CD-RISC), a 25-item measure of psychological resilience; and the Rashin Altruism Scale, a 5-item instrument assessing an individual’s tendency to help others. Multivariate analysis of variance (MANOVA) was conducted to evaluate group differences across the three variables, and Pearson correlation was used to assess relationships among them. MANOVA results revealed significant multivariate differences between the two groups (p < 0.05). Univariate analyses indicated that special education teachers reported higher levels of burnout and lower psychological resilience compared to regular school teachers. No significant difference was observed in altruism. Additionally, correlation analysis showed significant associations among burnout, resilience, and altruism across the total sample. These findings highlight the psychological challenges faced by special education teachers and underscore the need for targeted interventions to enhance resilience and reduce burnout in this population.

INTRODUCTION: Urban air pollution, especially in densely populated metropolises such as Tehran, has become one of the most serious environmental and health challenges. Nitrogen dioxide (NO₂), as one of the most important pollutants resulting from human activities, accumulates persistently in the surface layers of the atmosphere, especially in the cold seasons and under temperature inversion conditions. This study conducts an integrated hazard analysis of the spatiotemporal distribution of NO₂ in Tehran County over a seven-year period (2018–2024), with a focus on the interplay between anthropogenic and natural factors in shaping this hazard. METHODS: In this descriptive-analytical study with an integrated approach, daily NO2 concentration data were extracted from Sentinel-5P satellite images (TROPOMI sensor) during the winter seasons from 2018 to 2024 in Tehran. Using spatial extraction tools in the GIS environment, data were processed, seasonal averages were calculated, and raster-to-vector conversion was performed, and spatiotemporal distribution patterns of NO2 were plotted and analyzed. FINDINGS: The findings showed that the distribution pattern of NO2 has undergone significant spatial and temporal changes over the seven years. In 2018 and 2019, the highest concentrations were observed in central Tehran and the northeastern districts. A marked decline occurred in 2020 and 2021, coinciding with mobility restrictions imposed during the COVID-19 pandemic. However, from 2022 onward, NO₂ levels began to rise again, with a notable increase in southern and eastern areas by 2024. These shifts reflect a transition in pollution hotspots—from the city center toward peripheral zones—followed by a partial return to a more centralized pattern, indicative of extensive urban expansion and intensified human activities in suburban areas. CONCLUSION: According to the research results, NO₂ pollution in Tehran constitutes a “compound hazard,” resulting from the complex interaction of anthropogenic drivers (e.g., traffic, industry, and urban development) and natural conditions (e.g., temperature inversions and topography). The observed changes in NO₂ spatial patterns mirror transformations in urban morphology, land use, and environmental management policies.

This study investigates the way in which public discourse on social media reflects and shapes global power dynamics surrounding AI. Leveraging a corpus of approximately 21,000 English-language posts from Platform X (2021–2025), this study utilizes a computational linguistics framework—incorporating topic modeling, sentiment analysis, emotion classification, and named entity recognition—to analyze the construction of AI, interrogating its thematic narratives and affective investments across geopolitical contexts. Findings reveal a discourse shaped by U.S.–China technological rivalry, AI militarization, and infrastructural sovereignty, with strong currents of fear, anger, and skepticism. While Western powers and corporate actors dominate the narrative space, alternative discourses from the Global South emphasize digital dependency, exclusion, and justice. The emotional intensity and thematic complexity of the discourse suggest that publics are not simply reacting to geopolitical developments, but actively construct contested imaginaries of AI’s role in world order. This research contributes to a growing body of literature that recognizes public discourse as a critical site of informal geopolitics and underscores the need for more inclusive, responsive, and ethically grounded AI governance frameworks.