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Record W2159290196 · doi:10.1177/1077801213520576

Never Innocent Victims

2014· article· en· W2159290196 on OpenAlexaffabout
Susan Strega, Caitlin Janzen, Jeannie Morgan, Leslie Brown, Robina Thomas, Jeannine Carrière

Bibliographic record

VenueViolence Against Women · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsUniversity of British ColumbiaUniversity of Victoria
Fundersnot available
KeywordsIdeologyMedia coverageCriminologySuicide preventionGender studiesSociologyPoison controlHuman factors and ergonomicsPolitical scienceMedia studiesPoliticsLawMedicineEnvironmental health

Abstract

fetched live from OpenAlex

Over the past decade, street sex workers and their families garnered considerable media attention through extensive coverage of disappeared and murdered women in Western Canada. The research presented here examines whether recent media accounts differ from past coverage given that families and friends of disappeared and unaccounted for women inserted themselves into media discussions and circulated alternative readings of their stories. We found that coverage was dominated by two discourses: Vermin-victim discourse demonstrates the tensions between historically dominant conceptualizations and more recent ideas promulgated by families; and risky lifestyle discourse is related to neo-liberal ideologies about personal choice and responsibility.

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)0.009
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 score0.020
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0200.003

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 head0.007
GPT teacher head0.259
Teacher spread0.252 · 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

Citations54
Published2014
Admission routes2
Has abstractyes

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