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Record W2045138435 · doi:10.1177/1057567711428963

Guns and Sublethal Violence

2011· article· en· W2045138435 on OpenAlex
Jennifer E. Butters, James Sheptycki, Serge Brochu, Patricia G. Erickson

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Criminal Justice Review · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicGun Ownership and Violence Research
Canadian institutionsUniversité de MontréalInternational Centre for Comparative CriminologyYork UniversityCentre for Addiction and Mental Health
FundersSocial Sciences and Humanities Research Council of CanadaYork University
KeywordsHarmCriminologyJuvenile delinquencyGun violenceSuicide preventionLogistic regressionViolent crimeHuman factors and ergonomicsPoison controlPsychologyDemographyPolitical scienceSociologyMedical emergencyMedicineSocial psychology

Abstract

fetched live from OpenAlex

This study is the first in Canada to examine gun usage and harm to others, with original interview data, and aims to identify the correlates of sublethal violence among at-risk youth in Toronto and Montreal. Toronto youth showed 50% higher levels of this violence than Montreal youth. Despite having a common profile of conduct disorder and prior delinquency, Toronto youth were more involved in drug selling and the crack trade, and Montreal youth more likely involved in gang fighting. Ready access to firearms was reported in both locales but faster in Toronto. Logistic regression analysis for predicting using a gun to threaten or try to harm others found that drug selling was only significant in Toronto, while involvement in the crack trade and gang fighting was significant in both cities. Being able to obtain a gun in <3 hours was also significantly associated with this violence outcome in both sites. Actually harming someone with a weapon showed fewer common factors, with only gang fighting being significant in both cities. The importance of examining local patterns of youth violence, and the need for more research to assess the meanings youth impart to guns, is emphasized.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.805
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.191
GPT teacher head0.433
Teacher spread0.242 · 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