The role of education and income as protective factors against intimate partner violence and HIV exposure among Kenyan women
Bibliographic record
Abstract
Introduction: Intimate partner violence (IPV) is a public health problem that impacts approximately one in three women worldwide in their life-time. The purpose of the study was to explore the lived experiences of women teachers and violence in Kenya. It also explores the intersection between intimate partner violence, HIV risk, and gender inequality. Method: Data were collected through two focus groups of a total of 15 women teachers. We recruited women ages 21-44 from two geographically diverse urban and rural schools. The data were analyzed using a thematic analysis method to identify text themes and meaning patterns. Results: Three contextual experiences emerged: socio-cultural influences of gender norms, masculinity and patriarchy; uneven power dynamics; and institutionalized gender inequality. Discussion: Findings suggest that education alone is not sufficient to end GBV. Comprehensive and gender transformative governmental policy approaches are needed to mitigate GBV in Kenya.
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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 | 0.001 |
| 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 | 0.001 |
| 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".