Third Parties (Venue Owners, Managers, Security, etc.) and Access to Occupational Health and Safety Among Sex Workers in a Canadian Setting: 2010–2016
Bibliographic record
Abstract
OBJECTIVE: To determine the impact of engagement with third parties (i.e., managers, receptionists, or owners of in-call venues; advertisers; security; spotters; and others) on sex workers' occupational health access. METHODS: We drew longitudinal data from An Evaluation of Sex Workers' Health Access, a community-based cohort of more than 900 women sex workers. We used multivariable logistic regression and generalized estimating equations to (1) examine factors correlated with accessing third-party administrative or security services and (2) evaluate the impact of third-party services on access to mobile condom distribution and sex worker and community-led services (2010-2016). Finally, we evaluated changes in accessing third-party services pre-post end-demand criminalization (2010-2017). RESULTS: Im/migrant sex workers (persons with any type of legal status who were born in another country; adjusted odds ratio [AOR] = 2.32; 95% confidence interval [CI] = 1.35, 3.98) had higher odds of accessing third-party services. In confounder models, third-party services were independently correlated with increased access to mobile condom distribution (AOR = 1.84; 95% CI = 1.47, 2.31) and sex worker and community-led services (AOR = 1.61; 95% CI = 1.15, 2.24). End-demand criminalization was linked to a decrease in access to third-party services (AOR = 0.79; 95% CI = 0.63, 0.99). CONCLUSIONS: This research suggests that access to administrative and security services from third parties increases sex workers' occupational health and safety. Policy reforms to ensure sex workers' labor rights, including access to hiring third parties, are recommended.
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How this classification was reachedexpand
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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".