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Record W1483981938 · doi:10.32920/22726724

When Sex is Work: Organizing for Labour Rights and Protections

2023· article· en· W1483981938 on OpenAlexaffabout
Emily van der Meulen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsDecriminalizationCriminalizationSex workAppealCriminal codeCharterPolitical scienceHarassmentCriminal justiceCriminologyLawGovernment (linguistics)Work (physics)RedressSociologyCriminal lawEngineering

Abstract

fetched live from OpenAlex

<p>Research on sex work in Canada tends to analyse the ways in which the Canadian Criminal Code contributes to stigma, discrimination, and violence toward sex workers.1 The negative implications of criminalization have been well documented in sexuality studies, women's studies, policy studies, and criminal justice studies research, not to mention by the courts themselves. In September 2010, a pronouncement by the Ontario Superior Court of Justice2 ruled that the sections of the Criminal Code which seek to prohibit aspects of prostitution are not congruent with the principles of justice as protected by the Charter of Rights and Freedoms.3 In effect, the ruling supported the decriminalization of many common work-related activities, for example: working from a fixed location, including one's own home; hiring a driver or a bodyguard; and communicating in public for the purposes of engaging a client for services. The federal government appealed, and in March 2012 the Ontario Court of Appeal released its decision which again supported partial decriminalization. 4 The section of the decision regarding bawdy-houses includes a twelve month stay, which gives policy makers, politicians, sex workers, and labour organizers a limited amount of time to make recommendations and decisions about how to best regulate and organize indoor sex work. </p>

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.591
Threshold uncertainty score0.739

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.306
Teacher spread0.278 · 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 designNot applicable
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

Citations24
Published2023
Admission routes2
Has abstractyes

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