📄 social science

Through a Gendered Lens: Artificial Intelligence, Photographic Representation, and the Politics of Vision in World Cinema

This mixed-methods study reveals that artificial intelligence systematically reproduces patriarchal photographic conventions in world cinema through a quantifiable "Gendered Photographic Bias Index" and a theoretical "AI-Gendered Gaze Framework," while empirical data confirms that female film practitioners experience these tools as significantly more constraining than their male counterparts.

Manish Sehrawat, JANARDHAN JUVVIGUNTA, Rubaid Ashfaq, Rohit Rohit, Mohd Asif Shah2026-07-10
📄 social science

Psychosocial profiles of pandemic and health emergency preparedness: a latent class analysis across four European countries

This study utilizes latent class analysis across four European countries to identify three distinct psychosocial preparedness profiles—Priority Support, Individually Prepared, and Collectively Prepared—revealing that population readiness is primarily shaped by underlying psychosocial resources rather than behaviors, thereby underscoring the need for tailored interventions that address specific mental health and societal trust deficits.

Catarina Santos-Ribeiro, Mart van Dijk, Maartje Boer, Helena Jeriček Klanšček, Aaron Deegan, Heber Rowan, María Falcón (…)2026-07-10
📄 social science

Beyond Individual Deficits: Teachers’ Perspectives on the Post-School Transition of Individuals with Autism Spectrum Disorder

This qualitative study of 42 Turkish educators reveals that teachers view the post-school transition for individuals with Autism Spectrum Disorder not merely as a result of individual deficits, but as a complex, multidimensional process heavily influenced by ecological factors such as family support, societal acceptance, and the coordination of institutional services.

Vedat Dinç, Fatih Koçak2026-07-10
📄 social science

Decentering and Self-Esteem Regulation in Patients with Depression: The Role of Self-Affirmation and Self-Protection Strategies

This study demonstrates that patients with depression exhibit lower self-esteem, decentering, and self-affirmation alongside higher self-protection compared to healthy individuals, highlighting decentering as a crucial metacognitive process that facilitates adaptive self-esteem regulation through self-affirmation, a relationship significantly moderated by depression severity.

Lena Rader, Verena Mainz, Maureen Beetz, Siegfried Gauggel, Barbara Drueke2026-07-10
📄 social science

Preference–participation mismatch in later-life cultural engagement and depressive symptoms: Longitudinal evidence from ELSA

This longitudinal study of over 14,000 older adults in England reveals that the "preference–participation mismatch"—defined as a desire for cultural activities coupled with low actual engagement—is a distinct and significant risk factor for future depressive symptoms and incident depression, more so than simply having no interest in such activities.

Jing Wang, Fen Chen, Peiwu Ding, Shijun Yang2026-07-09
📄 social science

Exploring the Generational Gap in Medical Education and Identifying Generation Z–Related Challenges and Opportunities from the Perspectives of Students and Faculty Members: A Qualitative Study

This 2025 qualitative study at Mazandaran University of Medical Sciences explores the multidimensional generational gap in medical education by analyzing perspectives from Generation Z students and faculty, revealing key challenges such as mismatches in teaching methods and technology integration while highlighting opportunities for curricular reform and enhanced learning environments.

Zohreh Alinasab, Misagh Shafizad, seyed amir soltani, Jamshid Yazdani-Charati2026-07-09
📄 social science

Academic Performance and Its Association with Self-Efficacy and Academic Resilience among High School Adolescents: A Cross-Sectional Study

This cross-sectional study of 356 high school students in Tabriz, Iran, reveals that academic self-efficacy and academic resilience are significant positive predictors of academic performance, alongside factors such as gender, age, and family income, collectively explaining 45.4% of the variance in student grades.

Zahra Jalili, farnaz Rahmani, Saeed Musavi, Maryam Vahidi2026-07-09