Exploring the role of sex-seeking apps and websites in the social and sexual lives of gay, bisexual and other men who have sex with men: a cross-sectional study
Why this work is in the frame
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Bibliographic record
Abstract
Background The objective of this study was to explore the relationship between online sex-seeking, community/social attachment and sexual behaviour. METHODS: Respondent-driven sampling was used to recruit 774 sexually active gay and bisexual men in Vancouver, Canada, aged ≥16 years. Multivariable logistic regression compared men who had used online sex-seeking apps/websites in the past 6 months (n=586) with those who did not (n=188). RESULTS: Multivariable results showed that online sex seekers were more likely to be younger [adjusted odds ratio (aOR)=0.95, 95% CI: (0.93-0.96)], college educated [aOR=1.60, 95% CI: (1.07, 2.40)], have more Facebook friends [aOR=1.07, 95% CI: (1.01, 1.13)], spend more social time with other gay men [aOR=1.99, 95% CI: (1.33-2.97)], and were less likely to identify emotionally with the gay community [aOR=0.93, 95% CI: (0.86-1.00)]. Further, they had displayed high sensation-seeking behaviour [aOR=1.08, 95% CI: (1.03-1.13)], were more likely to engage in serodiscordant/unknown condomless anal sex [aOR=2.34, 95% CI: (1.50-3.66)], use strategic positioning [aOR=1.72, 95% CI: (1.08-2.74)], ask their partner's HIV-status prior to sex [aOR=2.06, 95% CI: (1.27-3.37)], and have ever been tested for HIV [aOR=4.11, 95% CI: (2.04-8.29)]. CONCLUSION: These findings highlight the online and offline social behaviour exhibited by gay and bisexual men, pressing the need for pro-social interventions to promote safe-sex norms online. We conclude that both Internet and community-based prevention will help reach app/web users.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it