Intimate Partner Violence and Women’s Economic and Non-Economic Activities in Minya, Egypt
Bibliographic record
Abstract
Intimate partner violence (IPV) against women is widespread, but its implications for their economic and non-economic activities are understudied. Leveraging new data from 564 ever-married women aged 22–65 in rural Minya, Egypt, we estimated logistic regressions and zero-inflated negative binomial regressions to test spillover, compensation, and patriarchal bargaining theories about the influences of women's exposure to IPV on their engagement in and time spent on market, subsistence, domestic, and care work. Supporting compensation theory, exposures to lifetime, recent, and chronic physical or sexual IPV were associated with higher adjusted odds of performing market work in the prior month, and exposures to recent and chronic IPV were associated with higher adjusted odds of performing subsistence work in this period. Supporting compensation and patriarchal bargaining theories, exposures to recent and chronic IPV were associated with more time spent on domestic work in the prior day. Supporting spillover and patriarchal bargaining theories, exposures to lifetime IPV of all forms were associated with lower adjusted odds of performing mostly nonspousal care work in the prior day, and this association was partially mediated by women's generalized anxiety. Women in rural Minya who are exposed to IPV may escalate their housework to fulfill local norms of feminine domesticity while substituting economic activities for nonspousal care work to enhance their economic independence from violent partners.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".