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Fallen Women and Rescued Girls: Social Stigma and Media Narratives of the Sex Industry in Victoria, B.C., from 1980 to 2005

2006· article· en· W2034327746 on OpenAlex
Helga Kristín Hallgrímsdóttir, Rachel Phillips, Cecilia Benoit

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCanadian Review of Sociology/Revue canadienne de sociologie · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsSex workersHumanitiesSociologyNarrativeGender studiesMeaning (existential)ArtEthnologyPsychologyDemographyLiteratureResearch methodology

Abstract

fetched live from OpenAlex

Cet article compare les portraits médiatiques de personnes qui travaillent dans l'industrie du sexe avec les représentations de soi de ces travailleurs, représentations qui incluent leurs origines personnelles et leurs expériences vécues au quotidien. Notre objectif est de jauger la distance empirique entre les descriptions médiatiques et la réalité vécue de ces travailleurs puis de comprendre comment les médias contribuent à cons-truire, reproduire et approfondir les stigmates sociaux associés au travail dans l'industrie du sexe. Nous avangons que le fait de distinguer la variabilité historique et spatiale de ces stigmates ainsi que le fait d'expli-quer leurs racines dans les activités de sens et de pratiques des auteurs et autorités médiatiques représentent une avancée cruciale pour la compréhension de leur construction sociale. This paper compares media portrayals of people who work in the sex industry with these workers' self-reports of their personal backgrounds and experiences of what they do for a living. Our aim is to first, gauge the empirical distance between media depictions and workers' lived reality, and second, to understand how the media contributes to constructing, reproducing and deepening the social stigmas associated with working in the sex industry. We argue that pulling apart the historical and spatial variability of these stigmas and explicating their roots in the meaning-making activities of media authors and authorities is a crucial step towards understanding their social construction.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.545
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.025
GPT teacher head0.272
Teacher spread0.247 · 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