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Record W7015089319

The Right to Remain Silent: Prostitution in Canada

2014· other· en· W7015089319 on OpenAlexaboutno aff

Bibliographic record

VenueArca (British Columbia Electronic Library Network) · 2014
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsEnforcementFace (sociological concept)Variation (astronomy)Work (physics)Law enforcementCommodityStigma (botany)Division of labour
DOInot available

Abstract

fetched live from OpenAlex

No profession is perhaps as widely debated as that of prostitution. Particularly within feminism, there appears the division between those who see the sex trade as women objectified into a commodity and those who see a legitimate practice, the right to which is being ignored. Within Canada, the laws mostly prohibit the communication of a transaction as well as forbidding bawdy houses and living of the avails of a prostitute. Amongst this debate and the relevant laws, there are several assumptions made. The largest of which is the assumption that there is a victim. There is no denying that victimization does occur, but under what circumstances and by who? What do the women working in the sex trade say? There is a large amount of variation of the working conditions within this trade as well as variation within law enforcement as to how the laws are applied. In addition, sex trade workers face severe stigma which prevents the larger public from being accurately aware of what this work is truly like. These factors are consistently interacting to produce unique circumstances and marginalization within every aspect of the worker’s life. Only by including these voices will the law be able to truly reflect the unique needs of the industry and offer protection against the victimization that occurs.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.083
Threshold uncertainty score0.599

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0310.005
Scholarly communication0.0070.002
Open science0.0020.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0220.001

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 head0.002
GPT teacher head0.156
Teacher spread0.154 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2014
Admission routes1
Has abstractyes

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