Long-term Consequences of Men’s Migration for Women’s Well-being in a Rural African Setting
Why this work is in the frame
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Bibliographic record
Abstract
Labor migration is a massive global reality, and its effects on the well-being of nonmigrating household members vary considerably. However, much existing research is limited to cross-sectional or short-term assessments of these effects. This study uses unique longitudinal panel data collected over 12 years in rural Mozambique to examine long-term connections of women's exposure to husband's labor migration with women's material security, their perception of their households' relative economic standing in the community, their overall life satisfaction, and their expectations of future improvements in household conditions. To capture the cumulative quality of such exposure, we use two approaches: one based on migrant remittances ("objective") and the other based on woman's own assessment of migration's impact on the household ("subjective"). The multivariable analyses detect a significant positive association between "objective" migration quality and household assets, regardless of women's current marital status and other characteristics. However, net of household assets, "objective" quality shows a positive association with life satisfaction, but not with perceived relative standing of the household or future expectations. In comparison, "subjective" quality is positively associated with all the outcomes even after controlling for other characteristics. These findings illustrate the gendered complexities of long-term migration impact on nonmigrants' well-being.
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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 | 0.001 |
| 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 | 0.001 |
| 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