Fishing in Salty Waters: Poverty, Occupational Saline Exposure, and Women’s Health in the Indian Sundarban
Bibliographic record
Abstract
Collecting wild tiger prawn seedlings, also known as prawn post-larvae (PL), from rivers and creeks is an important occupation for more than 100,000 poor women in India’s Sundarban estuarine delta. Prawn PL collecting requires many hours of immersion in saline river water. This paper uses a large household survey to explore the determinants of poor women’s engagement in this occupation and the health impacts. The results reveal high significance for two variables: (i) the opportunity wage, proxied by years of education and (ii) child-care demands, proxied by the household child-dependency ratio. Together, these variables are sufficient to distinguish between women who have no engagement with prawn PL collecting and those with many years of engagement. The probability of self-reported health problems is also significantly higher for women with more saline exposure from prawn PL collecting and whose drinking water is from tube wells with higher salinity.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".