Fertility intentions of having a second child among the floating population in China: Effects of socioeconomic factors and home ownership
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
Abstract The adoption of the universal two‐child policy in late 2015, replacing the one‐child policy, signals a dramatic shift in China's fertility policy. The 2016 China Migrants Dynamic Survey provides a nationally representative dataset that enables us to reveal, for the first time, the socioeconomic correlates of fertility intentions of having a second child among China's large migrant population. Using a multilevel analytical framework, we find that male, younger, and more affluent migrants, those from minority ethnic groups, individuals migrating from rural areas, those whose first child is a girl, those at 5 years after having the first child, and migrants living in economically less developed cities are more likely to express the intention to have a second child. Moreover, our study establishes a correlation between home ownership and fertility intentions. Migrants who own their own home in the destination city express lower intentions to have a second child, compared with those who are renting. We suggest a proposition about this counterintuitive relationship between home ownership and lower fertility intentions: home ownership and childbearing compete for the limited financial resources of migrants who are socioeconomically disadvantaged in China.
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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 | 0.001 | 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