HIV status and sexual behaviour among gay men in Ottawa: considerations for public health
Bibliographic record
Abstract
OBJECTIVES: HIV prevention efforts, particularly among men who have sex with men (MSM), have not achieved maximum effectiveness. A survey of MSM in Ottawa, Canada was completed to ascertain whether there were differences in how the perceived HIV status of participants and their partners influenced sexual practices. METHODS: Self-directed surveys were administered to a convenience sample of 721 MSM in Ottawa, Canada from November 2011 through May 2012. Data collection occurred at 14 sites. The survey identified whether participants identified as HIV positive, negative or unsure of their HIV status. RESULTS: The findings indicated variation between HIV-negative MSM and those who are unsure of their HIV status. Men who were unsure of their HIV status were less likely to report that they asked sexual partners or have had their partners ask about HIV status. CONCLUSIONS: The results of this study indicate that some MSM may base decisions about HIV prevention on discussion about HIV status with their partners, rather than condom use. These practices may increase, rather than decrease, HIV transmission. Survey findings and extant literature demonstrate a need to inform MSM about the limitations of serosorting as a prevention strategy, and to provide facilitated access to sexually transmitted infection testing and treatment to further reduce onward HIV transmission.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".