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Record W2894810302 · doi:10.22215/etd/2015-10981

Affecting the Frame: Risk, Vulnerability, and Sex Worker Subjectivities

2015· dissertation· en· W2894810302 on OpenAlexaffabout
Marcus A. Sibley

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsCarleton University
Fundersnot available
KeywordsSex workDecriminalizationLegislationSex workersSex offenderVulnerability (computing)CriminologyLegislatureHouse of CommonsCriminal justiceGovernment (linguistics)Political scienceWork (physics)PsychologySociologyLawEngineeringComputer securityPoliticsPopulationParliamentMedicine

Abstract

fetched live from OpenAlex

The recent changes in Canadian sex work legislation have brought significant attention to the issues of decriminalization.With the implementation of Bill C-36 (Protection of Communities and Exploited Persons Act) the legislative response to the Bedford decision, the government has re-criminalized sex work.Shifting the attention of the criminal justice system away from those who sell sex to those who purchase sex creates a dynamic that reconstitutes sex workers as vulnerable subjects.How then do sex work advocates and abolitionists play on this notion of vulnerability and its relationship to criminality and risk?Using data collected from the Bedford decision and Bill C-36 House of Commons and Senate hearings, I explore the ways risk and affect serve to reorient our understanding of the risky sex worker subject from that of a societal nuisance to a vulnerable victim or legitimate worker-positions which ultimately reify the grievability of sex workers' lives.

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)0.004
metaresearch head score (Gemma)0.016
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 score0.021
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0090.014
Scholarly communication0.0060.004
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.019
GPT teacher head0.340
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 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

Citations1
Published2015
Admission routes2
Has abstractyes

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