http://irgu.unigoa.ac.in/drs/handle/unigoa/7536 2026-09-23T10:42:05Z 2026-09-23T10:42:05Z Parmar, D. Desouza, S. http://irgu.unigoa.ac.in/drs/handle/unigoa/8022 2026-09-11T09:37:05Z 2026-01-01T00:00:00Z

AI's patriarchal grammar: How large language models distort feminist legal analysis Parmar, D.; Desouza, S. This article argues that AI language models can produce what we term "patriarchal grammar:" a recurring distortion of feminist legal scholarship through the euphemization of sexual violence, the erasure of structural feminist critique, and the naturalization of patriarchal assumptions as neutral facts. These distortions pose a serious epistemic risk to feminist legal analysis, particularly in postcolonial Asian contexts where English mediates legal discourse. Using ChatGPT, Claude, and Gemini on the 2022 Indian marital rape case (RIT Foundation v. Union of India), we observed that in the selected encounters documented here, these models transformed "marital rape" into "intimate disputes," reduced Justice Shakdher's feminist constitutional reasoning to generic rights discourse and presented Justice Hari Shankar's patriarchal logic as objective fact. These encounters are presented with sufficient contextual detail to enable critical evaluation, though full replicability is constrained by the instability of hosted commercial AI systems. Following Gayatri Spivak, we ask for whom we are making language accessible, and to what effect. While AI tools promise linguistic equity, they risk enacting epistemic violence by selectively filtering feminist analysis through dominant patriarchal frameworks. We conclude by proposing protocols for feminist scholars to preserve epistemological authority when engaging with AI tools.

2026-01-01T00:00:00Z Zaraunker, V. http://irgu.unigoa.ac.in/drs/handle/unigoa/7880 2026-06-12T10:51:40Z 2026-01-01T00:00:00Z

जानक्यें बाये काणी [Janakye Bai Kaani] Zaraunker, V.

2026-01-01T00:00:00Z Zaraunker, V. http://irgu.unigoa.ac.in/drs/handle/unigoa/7879 2026-06-12T10:50:54Z 2026-01-01T00:00:00Z

The Story of Janakye Bai Zaraunker, V.

2026-01-01T00:00:00Z Pednekar, S. Desouza, S. Mukhopadhyay, P. http://irgu.unigoa.ac.in/drs/handle/unigoa/7212 2025-03-29T10:38:13Z 2024-01-01T00:00:00Z

Monitoring WASH and school dropouts in India: Is there adequate data? An assessment of four national databases Pednekar, S.; Desouza, S.; Mukhopadhyay, P. Water, sanitation and hygiene (WASH) are crucial to human development. Lack of WASH affects girls' health and school attendance, particularly after puberty. This has long-term consequences on gender equality and empowerment. Several international (like the World Health Organisation's WASH standards, the United Nations Sustainable Development Goals (4, 5 and 6)) and national initiatives (like The Right of Children to Free and Compulsory Education Act of 2009, the Swachh Bharat Swachh Vidyalaya campaign and guidelines for menstrual hygiene management) are expected to address this issue in schools. There is a need to systematically and regularly collect and disseminate WASH data on school infrastructure facilities and attendance details. This would help assess the achievement of better WASH infrastructure and examine how much it reduces school dropouts. We assess four national-level databases routinely used for studies in human development - India Human Development Survey, National Family Health Survey, National Sample Survey Office and the Unified District Information System in Education. Our study finds limited data availability, making assessing the extent of target achievement difficult. It underscores the need for re-orienting data collection on school attendance and WASH school infrastructure.

2024-01-01T00:00:00Z