Ethnic Intermarriage in Beijing and Xinjiang, China, 1990
Bibliographic record
Abstract
Using the one percent samples of the 1990 China Census from Beijing and Xinjiang and binomial logistic regression method, we examine the ethnic intermarriage patterns among the national minority groups in Beijing and Xinjiang. The number of married couples analyzed is 22,909 in Beijing and 27,8 11 in Xinjiang. The findings generally support Blau’s (1971) proposition about group size. After taking into account the effects of age, education, urban-rural residency and geographic distribution, in Beijing the Manchu, the Hui and “other” nationalities are significantly more likely to marry out than the Han (all p<0.001); in Xinjiang the Kazakhs, the Hui, the Uighur females, and “other” nationalities are more likely to marry out than the Han while the Uighur males are less likely to marry out than the Han males (p<0.05). A great deal of variation exists among the minority groups, however. The Manchu are the most exogamous, and the Uighurs are the least. Social, political, cultural, linguistic, and religious factors are important factors affecting the likelihood of out-marriage for minority nationalities.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".