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Record W2991251032 · doi:10.1177/0950017019878325

‘It’s a Puzzle You Have to Do Every Night’: Performing Creative Problem Solving at Work in the Indoor Canadian Sex Industry

2019· article· en· W2991251032 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueWork Employment and Society · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsYork University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSex workHuman sexualityJudgementStigma (botany)Work (physics)Subject (documents)Race (biology)SociologyPsychologyGender studiesSocial psychologyPolitical scienceEngineeringLawComputer science

Abstract

fetched live from OpenAlex

In Canada, like in many other countries, people working in the sex industry are subject to prohibitive regulation, stigma and pervasive moral judgement. At the same time, workplace and client demands, in concert with various modes of socio-economic marginalization, shape sex workers’ experiences of and access to work. However, sex workers are seldom recognized for overcoming these challenges as skilled workers. Moving beyond arguments about whether or not sex work is a legitimate form of labour, we argue for the recognition of sex workers’ entrepreneurial and security strategies as creative problem solving and in turn cognitive skill. We do so by drawing on two qualitative interview-based studies highlighting the intersectional experiences of female sex workers who modulate their appearance and behaviour to perform race, gender, class, culture and sexuality to succeed in the Canadian indoor sex industry.

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.

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 score0.373
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.017
GPT teacher head0.270
Teacher spread0.254 · 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