The Detrimental Dialogue Between Indian Women, Beauty Discourse, Patriarchy and Indian Feminism
Bibliographic record
Abstract
This framework article analyses the established connection of body image and skin tone to the ideology of power and status and the need for Indian women to achieve those beauty standards to be celebrated in their field. Even though women have gained more power, they are still defined by and in the context of men in India. Men have subtly and constructively translated this power discourse over women that has been stretching across centuries through the channels of art, literature and the portrayal of the goddesses. This pressure to continually conform to beauty’s cultural ideals and sculpt oneself to those unattainable standards leads to body dissatisfaction. It affects the image the woman has of herself. The patriarchal structure that dominates the Indian women habitus has translated the ideology of this Western concept of beauty into a ‘common sense’ that has compelled women to impose a ‘self-hegemonic’ stance and the role of Indian feminism in fighting this emerging oppressive structure.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.015 | 0.043 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".