What is the Effect of Garment Work on Women's Health and Empowerment in India? An Analysis of India's National Family Health Surveys
Bibliographic record
Abstract
Evidence suggests that employment for women can reduce poverty and inequality resulting in improved living standards. The garment industry is an important source of income for Indian women. This thesis tested the effects of garment work as an income source on women’s health-care utilization practices and decision-making in comparison to both agricultural labourers and general women in India. Cross-sectional data collected from India’s National Family Health Survey-3 was used to generate descriptive statistics. Statistical modeling was used to test the effect of garment work on a) barriers to health care services and b) decision-making abilities of Indian women. Results suggest garment workers are younger, more educated, urban, and wealthier, make more cash earnings, and have more access and control over their own money as compared to agricultural labourers. Results indicate female garment workers report facing fewer barriers to accessing health care services. As well, access to cash earnings increases their decision-making abilities.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".