Changes in the Determinants of Marriage Entry in Post-Reform Urban China
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Using population intercensus and national survey data, we examine marriage timing in urban China spanning the past six decades. Descriptive analysis from the intercensus shows that marriage patterns have changed in China. Marriage age is delayed for both men and women, and prevalence of nonmarriage became as high as one-quarter for men in recent birth cohorts with very low levels of education. Capitalizing on individual-level survey data, we further explore the effects of demographic and socioeconomic determinants of entry into marriage in urban China over time. Our study yields three significant findings. First, the influence of economic prospects on marriage entry has significantly increased during the economic reform era for men. Second, the positive effect of working in the state-owned sector has substantially weakened. Third, educational attainment now has a negative effect on marriage timing for women. Taken together, these results suggest that the traditional hypergamy norm has persisted in China as an additional factor in the influences of economic resources on marriage formation.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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