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Record W2082829867 · doi:10.1080/19407963.2014.997437

Landscape of commercial sex before the 2010 Vancouver Winter Games

2015· article· en· W2082829867 on OpenAlexaboutno aff
Rebecca Finkel, Catherine M. Matheson

Bibliographic record

VenueJournal of Policy Research in Tourism Leisure and Events · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsnot available
Fundersnot available
KeywordsSex workSex workersSex traffickingStigma (botany)Work (physics)SociologyPoliticsPolitical scienceGender studiesEconomic growthCriminologyHuman immunodeficiency virus (HIV)PopulationPsychologyLawEngineering

Abstract

fetched live from OpenAlex

In the past decade, debates regarding the sex industries, especially street-level sex work, have become exacerbated by the hosting of international sporting events. Such issues as displacement, safety concerns and financial cuts to social services have contributed to the problematisation of the overlap between mega-event spaces and commercial sex spaces. This fuels the culture of social and physical marginalisation experienced by sex workers and perpetuates the stigma associated with commercial sex. The different approaches that destination cities have implemented to address these aspects of the urban environment reflect the gendered geographies of sex work. This research focuses on the landscape of the sex industries in Vancouver in an effort to illustrate the implications that the preparations for the 2010 Olympic and Paralympic Games had on these particular communities. Qualitative research methods have been conducted in the form of in-depth, semi-structured interviews with city officials, police, former sex workers/current activists, academics, NGOs and community support charities. Gendered discourses concerning sex workers' rights to the city and how policy debates regarding criminalisation of demand/legalisation of sex work are linked to constructions of public space are also analysed. There is scope from the findings of this research to inform events-related social policies with regard to commercial sex, especially as more and more cities and countries bid for and host large-scale events.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score0.593

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.079
GPT teacher head0.427
Teacher spread0.348 · 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 designNot applicable
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

Citations8
Published2015
Admission routes1
Has abstractyes

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