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Record W2059130407 · doi:10.1080/13691058.2012.750760

Identity management, negotiation and resistance among women in the sex trade in London, Ontario

2012· article· en· W2059130407 on OpenAlexaffabout
Treena Orchard, Sara Farr, Susan Macphail, Cass Wender, Dawn Young

Bibliographic record

VenueCulture Health & Sexuality · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsWestern University
Fundersnot available
KeywordsNegotiationResistance (ecology)Identity (music)Identity managementGender studiesPolitical scienceSociologyBusinessArtLawBiology

Abstract

fetched live from OpenAlex

Sex work, and ideas about women in the trade, have long been represented as tragic and/or threatening. However, such portrayals tell us very little about how women think about themselves and the kinds of work they do. The data for this paper come from an ethnographic, community-based study in London, Ontario, that involves women in street-based, indoor and transactional sex work. This discussion focuses on how women develop different individual identities, including the management of multiple selves, their sexual identities and what we have termed the 'good junkie' identity. We also examine how these women employ aspects of dominant representation of sex workers, namely the low status accorded to those in street-based work and the defamatory term 'whore' or 'ho', when negotiating the moral hierarchies that exist within various kinds of sex work (i.e., stripping, massage parlours) and making sense of their professional and personal lives. The work that goes into the creation and maintenance of the women's divergent identities sheds important light on this complicated and tremendously demanding, yet inadequately understood, aspect of life as women in the sex trade.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.534
Threshold uncertainty score0.952

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.027
GPT teacher head0.348
Teacher spread0.321 · 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

Citations21
Published2012
Admission routes2
Has abstractyes

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