A cross-national analysis of physical intimate partner violence against women
Bibliographic record
Abstract
This study investigates the cross-national correlates of intimate partner violence against women with a sample of 40 developed and less developed countries. Specifically, we analyze physical intimate partner violence against women during the 12 months prior to data collection, using data from nationally representative surveys. In the process, we examine the evidence for three explanations we discern from the literature: empowerment of women, cultural context (i.e. religion, institutions), and globalization. The results of our analyses provide strong support for the empowerment of women explanation, which draws from feminist concerns regarding socio-economic status of women, and reveal some effect of cultural context and globalization. Female labor force participation in non-agricultural sectors and women’s secondary school enrollment decrease the likelihood of intimate partner violence while increasing total fertility rate signals more partner violence. Religious fractionalization and dependence on high-income countries as export partners also increase the likelihood of intimate partner violence against women.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".