Gender, transactional sex, and HIV prevention cascade engagement among urban refugee and displaced adolescents and youth in Kampala, Uganda
Bibliographic record
Abstract
HIV prevention needs among urban refugee and displaced youth engaged in transactional sex are understudied. We examined associations between transactional sex and the HIV prevention cascade among urban refugee/displaced youth in Kampala, Uganda. We conducted a cross-sectional survey with a peer-driven sample of refugee/displaced adolescent girls and young women (n = 324) and adolescent boys and young men (n = 88) aged 16–24 living in Kampala’s informal settlements. We conducted gender-disaggregated multivariable linear and logistic regressions to examine associations between past 12-month transactional sex and: lifetime HIV testing, condom self-efficacy, and recent [past 3-month] consistent condom use. Among the 27% of young women reporting transactional sex, 63% reported HIV testing. In multivariable analyses with young women, transactional sex was associated with higher condom self-efficacy, increased consistent condom use, but not HIV testing. Among the 48% of young men reporting transactional sex, 50% reported HIV testing. In multivariable analyses with young men, transactional sex was associated with lower HIV testing but not with condom self-efficacy or consistent condom use. Young men were 68% less likely to report HIV testing if transactional sex engaged. Findings point to urgent HIV testing gaps among transactional sex engaged urban refugee/displaced youth and a need for gender-tailored HIV prevention strategies.
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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 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".