Psychosocial Experiences of East and Southeast Asian Men Who Use Gay Internet Chatrooms in Toronto: An Implication for HIV/AIDS Prevention
Bibliographic record
Abstract
OBJECTIVES: In recent years we have witnessed an increase in Asian men who use gay Internet chatrooms in Toronto. Previous research has shown that many men who had sex with men (MSM) sought sex partners through the Internet and that meeting sex partners via the Internet increases sexually transmitted infection (STI) and HIV risk. This study aims to (1) explore psychosocial issues relating to Asian men who use gay chatrooms and (2) identify culturally appropriate HIV prevention strategies for this population. DESIGN: In-depth interviews were conducted with a total of 21 East and Southeast Asian men who used Internet gay chatrooms. Unstructured, open-ended questions were used to obtain narrative data to help understand their lived, psychosocial experiences of gay chatrooms. Transcripts of the interviews were read to highlight themes and concepts. RESULTS: Analysis revealed complex lived, psychosocial experiences of Asian men who use gay chatrooms in Toronto. They tended to be socially isolated and highly marginalized, which had led to intense needs for social connections and thus left some Asian men vulnerable to sexual exploitation. Although they were fully aware that they should use condoms in anal intercourse with a casual partner, they had some misconceptions about HIV. Moreover, they rarely, if ever, used condoms in oral sex with a casual partner, which might leave them vulnerable to STI. CONCLUSIONS: It is important for service providers to continually provide accurate information about STIs and HIV/AIDS including how they can be contracted. However, HIV prevention strategies for this population must also address issues relating to social isolation and marginalization in order to combat the spread of HIV/AIDS effectively. This can be accomplished by an online peer support program.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| 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".