China's missing children: The 2000 census underreporting surprise
Why this work is in the frame
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Bibliographic record
Abstract
We compare the age and sex structure of China's 2000 population census to an estimate of that structure derived from a projection from the 1990 census. Based on China's own official estimates of demographic change, our intercensal analysis indicates a shortfall in enumeration of more than a quarter of all children under age 5 and an eighth of those between 5 and 9, a total of nearly 37 million children missing in the 2000 census. We show that the shortfall is primarily due to underreporting of children in the census. Sex differences in child underreporting were fairly minor. Child underreporting in China is not unprecedented, but child underreporting rates in 2000 were about triple those of previous censuses. We attribute the increase primarily to policy changes beginning in the early 1990s that held officials at all jurisdictional levels personally responsible for enforcing birth quotas.
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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 | 0.002 | 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