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Record W2884790414 · doi:10.1177/1043986218787729

“When You Choose to be a Gangbanger, You Deserve Everything You Get”: Victim Dichotomization, Fear, and the Problem Frame

2018· article· en· W2884790414 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Contemporary Criminal Justice · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicCrime, Deviance, and Social Control
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsNewspaperFraming (construction)CriminologyPublic opinionFrame (networking)Frame analysisPsychologyFraming effectPolitical scienceMedia coverageFrame problemMass mediaFear of crimeAdvertisingSocial psychologyPublic relationsSociologyMedia studiesHistoryLawComputer scienceBusiness

Abstract

fetched live from OpenAlex

Media framing of an event can have a significant impact on both reader response and public opinion. Through an examination of the deadliest gang-related murder to ever occur in British Columbia, the current study extends previous research by analyzing the influence of victim characteristics on the development of a problem frame. We analyze all newspaper articles published in the Vancouver Sun mentioning at least one of the murder victims between October 19, 2007, and December 31, 2016 ( N = 210). Results suggest that journalists use a number of techniques when creating a problem frame, including victim differentiation, purposeful inclusion of sources, and use of specific language. We argue that the extensive coverage of the murders provided an opportunity for the media to develop a problem frame that dichotomized victims, capitalized on societal fear of crime, and, consequently, affected calls for policy change.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience 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 score0.569
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.040
GPT teacher head0.319
Teacher spread0.279 · 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