Men Who Buy Sex: A Survey in the Greater Vancouver Regional District
Bibliographic record
Abstract
Les auteurs de cet article passent en revue la documentation canadienne sur les hommes qui achètent des services sexuels et présentent les résultats d'une enquête autoadministrée auprès de 80 de ces hommes, enquête qui a été réalisée dans le Grand Vancouver. l'article décrit les caractéristiques démographiques générates de l'échantillon et certains aspects de leur comportement d'achat sexuel. En raison de l'inquiétude accrue concernant le grand nombre de travailleurs du sexe sur la rue qui ont disparu ou qui ont ete tues, et de façon à apporter quelques réflexions au débat sur le prohibitionnisme qui allègue que la violence est omniprésente dans la prostitution, les auteurs examinent les actes de violence commis sur les travailleurs du sexe et autres personnes, et déclarés par eux. Ils se penchent également sur les expériences des hommes qui ont été victimes de violence de la part de travailleurs du sexe. This paper reviews the Canadian literature on men who purchase sexual services and presents the results of a self-administered survey conducted in Greater Vancouver of 80 such men. The paper describes the general demographic characteristics of the sample and selected aspects of their sex-buying behaviour. Because of heightened concern about the large number of street-level sex workers who have gone missing or been murdered, and in order to offer some reflections on the prohibitionist argument that violence in prostitution is ubiquitous, the paper examines the self-reported commission of violence against sex workers and other people. We also examine their experiences of being victimized by sex workers.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".