“I Walked into the Industry for Survival and Came Out of a Closet”
Bibliographic record
Abstract
BACKGROUND/OBJECTIVES: This paper seeks to examine how gender and sexual identities shape sex work experiences among men, two spirit, and/or trans people in Vancouver. METHODS: In-depth, semi-structured interviews were conducted with men and trans people in Metro Vancouver from CHAPS (Community Health & HIV Assessment of Men Who Purchase and Sell Sex). An intersectional critical feminist perspective guided the thematic analysis of interview transcripts, and ATLAS.ti 7 was used to manage data analysis. RESULTS: Three themes emerged from the data: (1) the diversity of sexual and gender identities among sex workers and clients, (2) the expression and exploration of sexual and gender identities through sex work, (3) the migration of sexual and gender minorities to urban centres to escape discrimination in their places of origin. DISCUSSION: These findings complicate existing narratives of sex work, demonstrating the need for policies and services that reflect the diversity of sex work experiences.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.029 | 0.015 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.020 | 0.005 |
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".