Perpetration of partner violence and HIV risk behaviour among young men in the rural Eastern Cape, South Africa
Bibliographic record
Abstract
OBJECTIVES: To examine associations between the perpetration of intimate partner violence and HIV risk behaviour among young men in rural South Africa. DESIGN: An analysis of baseline data from men enrolling in a randomized controlled trial of the behavioural intervention, Stepping Stones. METHODS: Structured interviews with 1275 sexually experienced men aged 15-26 years from 70 villages in the rural Eastern Cape. Participants were asked about the type, frequency, and timing of violence against female partners, as well as a range of questions about HIV risk behaviours. RESULTS: A total of 31.8% of men reported the perpetration of physical or sexual violence against female main partners. Perpetration was correlated with higher numbers of past year and lifetime sexual partners, more recent intercourse, and a greater likelihood of reporting casual sex partners, problematic substance use, sexual assault of non-partners, and transactional sex. Men who reported both physical and sexual violence against a partner, perpetration both before and within the past 12 months, or more than one episode of perpetration reported significantly higher levels of HIV risk behaviour than men who reported less severe or less frequent perpetration of violence. CONCLUSION: Young men who perpetrate partner violence engage in significantly higher levels of HIV risk behaviour than non-perpetrators, and more severe violence is associated with higher levels of risky behaviour. HIV prevention interventions must explicitly address the links between the perpetration of intimate partner violence and HIV risk behaviour among men, as well as the underlying gender and power dynamics that contribute to both.
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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 | 0.001 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".