Understanding the HIV/STI prevention needs of men who have sex with men in Kenya
Bibliographic record
Abstract
Understanding the sexual behaviors of populations who are vulnerable to HIV is an important component in the battle against AIDS. Yet policymakers in developing countries, particularly in Africa, have often overlooked men who have sex with men (MSM) as a vulnerable group because of stigmatization of homosexual behavior and denial of the existence of MSM and the role they may play in HIV transmission. A growing body of literature not only documents the presence of this population in Africa but also the importance of reaching them with information and services to prevent HIV and other sexually transmitted infections (STIs). In response to this gap, researchers from the Institute of African Studies at the University of Nairobi and the Horizons and FRONTIERS Programs of the Population Council undertook a study of MSM in Nairobi. The goals were to understand the extent to which MSM are at risk of HIV and other STIs, identify factors associated with risk behaviors, and determine their sexual health needs to develop appropriate interventions. As this research summary states, targeted interventions, such as confidential counseling and peer education are needed.
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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 | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".