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Record W1572002889 · doi:10.24908/ss.v13i2.5230

“It Depends on Who You Are, What You Are”: ‘Community Safety’ and Sex Workers’ Experience with Surveillance

2015· article· en· W1572002889 on OpenAlexafffundabout
Jordana Wright, Robert Heynen, Emily van der Meulen

Bibliographic record

VenueSurveillance & Society · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsToronto Metropolitan UniversityYork UniversityUniversity of Toronto
FundersYork University
KeywordsHarmSex workSex workersNormativeDiversity (politics)LegislatureCraftSociologyPublic relationsCriminologyPolitical scienceSocial psychologyPsychologyLawMedicineGeographyHuman immunodeficiency virus (HIV)

Abstract

fetched live from OpenAlex

Community safety has complex connotations for sex workers. This complexity is, in part, a function of the contradictory nature of ideas of community and the positioning of sex workers as both at-risk and risky, victims and criminals. ‘Community’ is simultaneously inclusive of everyone, including sex workers, and that which needs to be defended against the perceived dangers posed by sex work and sex workers. Denied in these contexts is any sense that harm may indeed flow from community to sex workers, not just the reverse. Drawing on data from a study with a diversity of sex working women in Toronto, Canada, this article argues that these contradictions are not the product of confusion, but in fact are constitutive of the ways in which communities are rhetorically and materially formed. They have structured legislative responses to sex work, reflect normative conceptions of community, bodies, and public space, and have actively produced unsafe and insecure conditions for sex workers. Indeed, sex workers themselves consistently identify the contradictory nature of ideas of community and the harm that flows from them. This is strongly evident in one of the key ways in which projects for ‘community safety’ are currently implemented, namely the installation of Closed Circuit Television Cameras (CCTV).

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.505
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.030
GPT teacher head0.296
Teacher spread0.266 · 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.

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

Citations16
Published2015
Admission routes3
Has abstractyes

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