Bandes de jeunes et gangs de rue. Les dérives criminelles d’une quête identitaire
Bibliographic record
Abstract
Les gangs de rue captivent l’attention médiatique. Comment distinguer ces gangs d’autres types de bandes de jeunes? Le présent article se propose d’examiner le statut marginal de certaines bandes de jeunes en se focalisant sur les rapports à la violence dans les pratiques identitaires de ces jeunes. L’ambiguïté autour des notions de « jeune » et de « jeunesse » est dégagée afin de souligner le caractère relatif et liminaire, voire marginal, de ces catégories sociales. D’une part, l’étiquette jeune qui les caractérise colle de moins en moins à la réalité globale de ces groupes avec le vieillissement de ses leaders. D’autre part, ces groupes sont de mieux en mieux organisés criminellement alors que le côté improvisé de leur criminalité a toujours été un de leurs traits distinctifs. Aussi importe-t-il de distinguer les niveaux d’appartenance à ces groupes lorsqu’il s’agit d’aiguiller nos interventions.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".