Prevalence and Risk Factors of Domestic Violence among Mongolian Women
Bibliographic record
Abstract
AIMS: The purpose of this study was to investigate the prevalence and determinants of domestic violence in Mongolian women. METHODS: The survey was administered to 5500 people in 1000 households randomly selected from two districts of Ulaanbaatar, Mongolia. RESULTS: The response rate was 90.3% (total of 4967, and 3338 were women.). About 37.7% of respondents reported that they were affected by some type of domestic violence during the previous 6 months; 17.9% of all respondents reported physical violence, 21.9% reported emotional violence, 10% reported sexual abuse, and 6.9% reported financial violence. Major risk factors for violence against women included having only a primary education or less, low income, living in a rented house, and living with an unemployed partner who uses alcohol. CONCLUSIONS: Domestic or intimate partner violence (IPV) is widespread in Mongolia and is usually committed in family circles, often away from public view. This study suggests that increasing employment for men may help reduce poverty and alcohol abuse and, thus, IPV.
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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 | 0.003 | 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 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".