Bibliographic record
Abstract
Child marriage, defined as marriage before 18 years of age, has harmful consequences for health and development and is an indicator of gender inequality. We used publicly available data from the 2000 and 2010 censuses to estimate the national and provincial-level prevalence of child marriage across mainland China. Between 2000 and 2010, the prevalence of child marriage rose from 2.41 percent to 2.85 percent among women and from 0.54 percent to 0.77 percent among men. The 2010 estimates are equivalent to roughly 1.8 million women and 0.5 million men. Child marriage was more common in western provinces among both girls and boys. Provincial prevalence estimates ranged from 0.44 percent in Beijing to 12.94 percent in Qinghai among girls. Among boys, estimates ranged from 0.13 percent in Beijing to 5.03 percent in Tibet. The gender gap widened across much of the country between censuses. Our results indicate that child marriage continues across mainland China despite laws that ostensibly prohibit the practice. They also draw attention to the global nature of child marriage as a threat to gender equality.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".