Travelling for sex, attending gay-specific venues, and HIV-related sexual risk among men who have sex with men in Ontario, Canada
Bibliographic record
Abstract
Gay, bisexual, and other men who have sex with men (GBMSM) remain the group most affected by HIV in Canada. Travelling for sex and attendance at specific venues for sex have been linked to elevated HIV risk among GBMSM, but most research on these mobilities and sexual health has focused on GBMSM living in large cities. The purpose of this study was to explore HIV-related sexual risk among GBMSM from mid-sized cities and rural regions who attend gay-specific venues and/or travel for sex. A cross-sectional online survey was completed by a convenience sample of individuals (n = 526) self-identifying as LGBTQ who lived, worked, or studied in Waterloo Region, a mixed urban-rural region in the southwestern part of Ontario, Canada. Analyses for the current study were restricted to those identifying as GBMSM (n = 269). Multinomial logistic regression models were created to explore travelling outside of the Region for sex, as well as recent attendance at gay-specific venues, and their associations with a contextual measure of HIV-related sexual transmission risk. Individuals reporting high HIV risk were significantly more likely to travel outside of Waterloo Region for sex than individuals reporting no HIV risk (OR = 3.08; 95% CI: 1.20, 7.93). The association between travel and risk was strengthened after controlling for education, marital status, sexual orientation, gender modality, and social support (OR = 5.07; 95% CI: 1.73, 14.87). GBMSM who reside outside of large cities may travel farther, enter unfamiliar scenes, or be less privy to information disseminated through current health promotion initiatives for GBMSM in large cities. Due to the dynamic geographic status of GBMSM travelling for sex and attendance at venues, HIV prevention initiatives that target these individuals may benefit from additional conceptualization of health promotion delivery in terms of social and sexual networks, rather than simply by place of residence.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".