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Record W2579972767 · doi:10.1177/0950017016679331

Would you think about doing sex for money? Structure and agency in deciding to sell sex in Canada

2017· article· en· W2579972767 on OpenAlexafffundabout
Cecilia Benoit, Nadia Ouellet, Mikael Jansson, Samantha Magnus, Michaela Smith

Bibliographic record

VenueWork Employment and Society · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsUniversity of Victoria
FundersInstitute of Gender and HealthHealth Canada
KeywordsAgency (philosophy)DisadvantageSex workNeglectAppealWork (physics)Sex segregationStructure and agencyEntry LevelSocial psychologySample (material)PsychologySociologyGender studiesPolitical scienceMedicineLawEngineeringSocial science

Abstract

fetched live from OpenAlex

Entry into sex work is not typically considered as an occupational choice comparable to entry into other jobs. In the sex work literature, initiation is often thought to occur through predisposing factors deep in the structure of society, including childhood disadvantage, abuse and neglect. Some studies have also identified need for money as the main reason for entry, while others document entry due to a desire for more disposable income. Few studies have focused on agency-level factors guiding entry, including seeing sex work as a viable career or professional choice. Analysis of data from interviews with a purposive multi-gender sample ( N = 218) reveals the multiple reasons for entry into sex work in Canada. Participants identified three overlapping structural and agentic reasons for entry: critical life events; desire or need for money; and personal appeal of the work. These findings are discussed in light of the occupational choice and sex work literatures.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.067
Threshold uncertainty score0.487

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0200.006
Scholarly communication0.0060.001
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.289
Teacher spread0.272 · 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 source (direct Gemma or distilled Codex), 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

Citations47
Published2017
Admission routes3
Has abstractyes

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