Gouvernance de la sécurité et capital : les gestionnaires de la sécurité privée
Bibliographic record
Abstract
L’objectif de cet article est de mettre en lumière les rationalités du gestionnaire de la sécurité privée au sein du champ de la sécurité à Montréal. Quarante-cinq entrevues ont été ainsi analysées à l’aide de la métaphore du capital pour dégager ses différentes stratégies de conquête du champ. Alors que nos données montrent clairement que les gestionnaires de la sécurité privée ont acquis suffisamment de ressources pour ne pas dépendre excessivement de la police, cette dernière possède toujours un ascendant certain sur la première, notamment du fait des pouvoirs spéciaux qui lui sont alloués. En outre, l’industrie souffre d’un manque de légitimité qu’elle tente de combler par la reconnaissance étatique. Enfin, l’industrie ne cherche pas tant à concurrencer la police qu’à s’en distinguer pour occuper une place à part du champ.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.016 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".