Discarded Daughters: The Patriarchal Grip, Dowry Deaths, Sex Ratio Imbalances & Foeticide in India
Bibliographic record
Abstract
This work on dowry murders and sex ratio imbalances in India is embedded in a much larger study that compares and contrasts extreme forms of violence against women in India, Pakistan, Oman and Turkey. The portion presented here is a modest slice on India, based on secondary analysis of the news media, government documents and face-to-face interviews with 37 Delhi-based women’s organizations, 12 International NGOs and interviews with 12 Delhi-based academics. First, I will review the historical roots of dowry, touch upon the increasing numbers of dowry deaths, especially in some central and Northeastern Indian states. I will also review the alarming increase in sex ratio imbalances and establish a conceptual link with dowry violence. I will end with summarizing what is already being done at the governmental and NGO levels, but also propose reasons why these efforts may not have been sufficient to curb or reverse the violence.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".