Challenges for the sexual health and social acceptance of men who have sex with men in Nigeria
Bibliographic record
Abstract
Little research exists regarding men who have sex with men and sexual risk in Nigeria. Prior to the implementation of a targeted HIV/STI prevalence study, structured focus groups incorporating anonymous questionnaires were conducted with members of this population in secure locations in Nigeria. A purposive sample of men was recruited by word-of-mouth. Five focus groups were conducted with a total of 58 men. Mean age was 27 years (range 16-58); 60% had post-secondary education; 56% were employed full or part-time; 83% were Christian; 16% were Muslim; 66% self-identified as bisexual; 31% as homosexual. Participants' experiences were diverse, with ethnic, religious and class distinctions strongly structuring sexual expression. Same-sex community networks were hidden, with social activities taking place in non-commercial, private venues. Socially ostracized by culture, religion, and political will, the risks embodied within same-sex activity are high. For Nigeria--a nation culturally rich and religiously devout--the implications for public health policy are complex. However, these research findings suggest that immediate action is vital to mitigate the impacts of HIV and other STIs.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 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".