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Men Who Buy Sex: A Survey in the Greater Vancouver Regional District

2006· article· en· W2005428470 on OpenAlexaffabout
John Lowman, Chris Atchison

Bibliographic record

VenueCanadian Review of Sociology/Revue canadienne de sociologie · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsHumanitiesSociologyPolitical scienceArt

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.281
Threshold uncertainty score0.794

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.055
GPT teacher head0.285
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations67
Published2006
Admission routes2
Has abstractyes

Explore more

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