Navigating stigma, survival, and sex in contexts of social inequity among young transgender women and sexually diverse men in Kingston, Jamaica
Bibliographic record
Abstract
Social inequities, including stigma, criminalisation of same-sex practices, and poverty, elevate HIV exposure among young transgender women and sexually diverse men in Jamaica. Yet the ways transgender women and sexually diverse men in Jamaica navigate sex and HIV in contexts of social inequity are underexplored. The study objective was to explore experiences and perceptions of sexual decision-making and HIV risk among young (aged 18-30) sexually diverse men and transgender women in Kingston, Jamaica. We conducted a community-based qualitative study in Kingston that involved in-depth individual interviews (transgender women: n = 20; sexually diverse men: n = 20), 2 focus groups (transgender women: n = 8; sexually diverse men: n = 10) and 13 key informant interviews. Focus groups and interviews were digitally recorded, transcribed verbatim, and analysed with a thematic approach. Findings suggest that transgender women and sexually diverse men in Kingston are aware of, and managing survival challenges and HIV risks in contexts of social inequity. Daily survival challenges include stigma and a lack of human rights protections that contributed to barriers to employment, housing, healthcare, education, and exposure to violence. Challenges maintaining sexual relationships included the need to hide for safety, often resulting in difficulties forming lasting relationships. These survival and relationship challenges converged to lower self-esteem and self-acceptance. In the face of these challenges, participants navigated sexual risk and pleasure. Findings provide insight into agency and sexual decision-making processes in contexts of social inequities. Findings can inform multi-level strategies to promote social equity, sexual health, and HIV prevention with young transgender women and sexually diverse men in Jamaica.
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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 | 0.000 | 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 | 0.006 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".