Gouvernance urbaine et rassemblements de jeunes à Montréal-Nord. Autour de la notion de gang de rue
Bibliographic record
Abstract
Cet article consiste en une réflexion sur la notion de gang de rue. Il aborde le contexte historique de sa construction et de sa « popularisation » en Amérique du Nord. L’article s’attarde plus précisément sur la façon dont les transformations expérimentées par les sociétés capitalistes contemporaines (l’immigration, la perte d’espaces publics, le changement du système de justice) expliquent sa diffusion. Le but de l’article n’est certainement pas de nier l’existence de la criminalité juvénile (individuelle ou collective), mais plutôt de réfléchir sur les limites associées à l’un des concepts les plus utilisés pour la comprendre. En ce sens, il est possible de dire que le texte cherche à déconstruire la notion de gang de rue. Le cas utilisé pour illustrer notre réflexion est celui de Montréal-Nord, arrondissement montréalais qui a été souvent associé aux gangs de rue par les médias et par les services de sécurité publique au Québec, Canada.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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 source (direct Gemma or distilled Codex), 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".