The Changing Patterns and Determinants of Stay-at-Home Motherhood in Urban China, 1982 to 2015
Bibliographic record
Abstract
This paper documents trends in and examines determinants of stay-at-home motherhood in urban China from 1982 to 2015. China once had the world’s leading female labor force participation rate. Since the economic reforms starting from the early 1980s, however, some mothers have been withdrawing from the labor force due to diminished state support, a rise in intensive parenting, and heightened work-family conflicts. Based on data from the 1982, 1990, and 2000 Chinese censuses, the 2005 mini-census, and the 2006–2015 Chinese General Social Survey, we find mothers’ non-employment increased for every educational group and grew at a much faster rate among mothers than it did among fathers, particularly those with small children. Moreover, the negative relationships between mothers’ education and non-employment, and between mothers’ family income and non-employment weakened overtime. This is possibly due to women with more established resources can better “afford” the single-earner arrangement and also more emphasize the importance of intensive parenting, than their less resourced counterparts. These findings signal the resurgence of a gendered division of labor in urban China.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".