Childcare, Household Composition, Muslim Ethnicity, and Off-Farm Work in Rural China
Bibliographic record
Abstract
This study explores how religious and ethnic norms and gender relations interact across the domestic and public spheres of work in rural China's minority-concentrated regions. It focuses on the roles that childcare and household composition play in the employment decisions of prime-age married individuals of Muslim and non-Muslim ethnicity. Using the 2012 China Household Ethnicity Survey (CHES), the study finds that children generally decrease women's likelihood of employment outside the home and increase men's. The gender gap in the probability of off-farm employment is larger for those of Muslim ethnicity. Non-Muslim parents of sons are more likely to migrate for employment than parents of daughters. The presence of women of grandparent age (46–70) universally facilitates labor migration. Men of grandparent age tend to increase only the probability that non-Muslim parents migrate for employment. Additional adult male household members reduce the likelihood that women of Muslim ethnicity have off-farm employment.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".