Guns, Gangs, and the Underclass: A Constructionist Analysis of Gun Violence in a Toronto High School
Bibliographic record
Abstract
À l'aide de données recueillies lors de la couverture d'événements par la presse locale, on examine comment a été présenté le meurtre d'un jeune de 15 ans, Jordan Manners, commis dans une école secondaire de Toronto. En particulier, on cherche à comprendre pourquoi, après avoir d'abord tenté de contextualiser l'événement en fonction d'autres cas de tireurs dans des écoles, les médias ont ensuite adopté un cadre d'interprétation basé sur des présuppositions idéologiques liées aux classes marginales de Toronto. Quand les médias veulent absolument couvrir un événement malgré l'absence de renseignements essentiels, on note qu'ils on tendance à reprendre des cadres conformistes. Dans la conclusion, on étudie la signification sociopolitique de ces cadres essentialisés pour les crimes commis dans les collectivités pauvres, habitées principalement par des personnes de couleur.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".