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Record W2076695998 · doi:10.1080/13691058.2010.517324

Structure and agency: reflections from an exploratory study of Vancouver indoor sex workers

2010· article· en· W2076695998 on OpenAlexafffundabout
Vicky Bungay, Michael Halpin, Chris Atchison, Caitlin Johnston

Bibliographic record

VenueCulture Health & Sexuality · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsAIDS VancouverSimon Fraser UniversityUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsDecriminalizationSex workAgency (philosophy)Sex workersDisadvantageStructure and agencySociologyWork (physics)CriminologyGender studiesPolitical scienceLawSocial scienceEngineeringDemographyMedicineHuman immunodeficiency virus (HIV)

Abstract

fetched live from OpenAlex

Sex work research continues to be characterised by debates around decriminalization. Central to these debates are claims about the agency of those involved in the sex trade. Some researchers argue that individuals involved in the sex trade are victims of structural and interpersonal constraint, whilst others depict them as workers exercising choice. Drawing on structure-agency theory, a review of legal and media accounts of the sex trade and qualitative interviews with 21 indoor sex workers in Vancouver, Canada, we argue that both of these perspectives are insufficient. Rather than reducing the sex trade to part of a binary, we suggest that it is necessary to analyse sex work through the complex interplay of both structure and agency. Specifically, structural analyses undercover the numerous ways that sex workers are controlled, observed and influenced whilst agency perspectives elicit the means that sex workers continue to exercise control in spite of disadvantage. While we do not finalise decriminalisation debates, we do critique current Canadian laws for the lack of responsiveness to the lives of sex workers and their exploitative and contradictory stance on sex work.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.283
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.055
GPT teacher head0.413
Teacher spread0.359 · 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 designQualitative
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

Citations68
Published2010
Admission routes3
Has abstractyes

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