Prevalence and Risks of Physical and Sexual Violence against Women by Nonintimates: An Exploratory Study across Nine Countries
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Research on violence against women involving nonintimates is a relatively understudied area. This research note presents data for nine countries participating in the International Violence Against Women Survey (IVAWS), including estimates of physical and sexual violence perpetrated by acquaintances and strangers and multivariate models assessing the effects of respondent age, source of income, current relationship status, and previous victimization experiences. Results show that there is considerable variation among countries in the prevalence and predictors of nonintimate violence. This suggests that women in different countries may be exposed to nonintimate violence under different circumstances. These results underscore the need for in-depth research to better understand the broader cultural, social, and economic contexts in which women are exposed to a range of violent experiences.
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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 | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| 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