Harsh Choices: Chinese Women's Paid Work and Unpaid Care Responsibilities under Economic Reform
Why this work is in the frame
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Bibliographic record
Abstract
China's economic reforms over the past three decades have dramatically changed the mechanisms for allocating goods and labour in both market and non-market spheres. This article examines the social and economic trends that intensify the pressure on the care economy, and on women in particular in playing their dual roles as care givers and income earners in post-reform China. The analysis sheds light on three critical but neglected issues. How does the reform process reshape the institutional arrangements of care for children and elders? How does the changing care economy affect women's choices between paid work and unpaid care responsibilities? And what are the implications of women's work–family conflicts for the well-being of women and their families? The authors call for a gendered approach to both social and labour market policies, with investments in support of social reproduction services so as to ease the pressures on women.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 it