Marriage Migration and Inequality in India, 1983–2008
Why this work is in the frame
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Bibliographic record
Abstract
Using National Sample Survey data from 1983 to 2007–08, we investigate rising rates of female marriage migration in India. We find little evidence to support the idea that marriage migration is a form of disguised economic migration by women. We hypothesise that it is instead a result of the changing patterns of marriage by socioeconomic status. Regression analysis indicates that poor families are increasingly more likely to have brides who in‐migrate, a finding that is robust across a sectoral disaggregation of marriage migration. We also find that urban inequality increases the likelihood of migration by intensifying class stratifications within urban India, increasing the need for poorer urban households to seek migrant brides. Marriage thus serves to reinforce rather than undermine larger patterns of class (and not just caste) inequality.
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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