The Loss of Boystown and Transition to Online Sex Work: Strategies and Barriers to Increase Safety Among Men Sex Workers and Clients of Men
Bibliographic record
Abstract
Men sex workers in Vancouver have largely transitioned from street to online solicitation coinciding with losing "Boystown," the main outdoor sex work stroll for men. This article explores strategies and barriers to increase safety among men and trans sex workers and clients of men in Vancouver, Canada. Qualitative interviews were conducted (2012-2013) with 61 self-identifed men who currently buy and/or sell sex in a community-based research project known as CHAPS (Community Health Assessment of Men Who Purchase and Sell Sex). Drawing on a socioecological framework, thematic analysis of interview transcripts was conducted utilizing ATLAS.ti 7 software among men (39 workers; 8 buyers). Narratives indicate that gentrification and urban planning led to social isolation and loss of social support networks among men in the sex industry. Concurrently, the restructuring of sex work to online increased workers' safety and control. Narratives reveal how the Internet can provide greater opportunities to negotiate terms of sex work and enhanced screening using webcams, reducing risks of violence, stigma, and police harassment for both workers and clients compared with the street. This study highlights how losing Boystown led to a loss of community and solidarity: key protective measures for sex workers. Online solicitation increased workers' capacity to screen prospective clients and prevent violence. Recent legal reforms in Canada to further criminalize sex work raise significant concern for human rights and health of individuals in the sex industry, and point to the critical need to include voices of men and trans sex workers and buyers in policy discussions.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.004 |
| 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".