Status, Caste, and the Time Allocation of Women in Rural India
Bibliographic record
Abstract
We argue that women may be disinclined to participate in market work in the rural areas of India because of family status concerns in a culture that stigmatizes market work by married women. We set out a theoretical framework that offers predictions regarding the effects of caste-based status concerns on the time allocation of women. We then use the all-India National Sample Survey data for the year 2004–5 and the Time Use Survey for six states of India for the year 1998–99 to empirically test these hypotheses. After controlling for a host of correlates, we find that the ratio of women’s market work to men’s declines as we move up the caste hierarchy. This ratio falls as family wealth rises, and the decline is steeper for the higher castes. Finally, the effect on women’s market work of higher education is weaker for the higher castes. These findings lend support to our theory and to the view that, through its emphasis on family status, caste plays a pivotal role in undermining the autonomy of women. Our article has implications for how culture impinges on the rate at which poverty in developing countries can be reduced.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".