Secondary HIV prevention among <i>Kothi</i> ‐identified MSM in Chennai, India
Bibliographic record
Abstract
This study explored experiences and contexts of HIV risk and prevention among HIV-positive kothi-identified men in Chennai, India. In-depth, semi-structured interviews were conducted with 10 HIV-positive men and three service providers, recruited using purposive sampling. Interviews were audio-taped, transcribed in Tamil and translated into English. Data were analysed using a narrative thematic approach and constant comparative method. Misconceptions about HIV transmission; cultural taboos around discussing sexual behaviour and HIV; stigma related to same-sex behaviour; harassment; and the criminalization of consensual sex between men present formidable challenges to HIV prevention. Frank and open discussion about male-to-male sexual behaviour and living with HIV, which may support health and HIV prevention, may be dangerous in the context of pervasive risks due to stigmatization, violence and criminalization. Instead, culturally appropriate, multi-level interventions developed in collaboration with community stakeholders are needed to support HIV prevention among kothi-identified men in South India.
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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 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".