The Racial Profile: Governing Race through Knowledge Production (Research Note)
Bibliographic record
Abstract
Résumé Utilisant deux rapports sur la pratique du profilage racial à Toronto, l'auteur soutient qu'elle doit être comprise comme une catégorie de gouvernance, et ceci puisqu'il faut s'éloigner de la seule question, si le profilage racial fait partie des pratiques policières. En concevant le profilage racial comme catégorie de gouvernance, chercheurs et praticiens peuvent plutôt analyser comment des pratiques racialisantes déterminent les limites de la citoyenneté et ultimement contribuent à établir, contrôler et mettre en oeuvre l'organisation des droits des citoyens. Elle conclue en soulignant l'utilité et le potentiel plus large du concept de ‘catégorie de gouvernance’ pour étudier le profilage racial, notamment dans le sens d'une analyse des multiples manières de faire (ou de ne pas faire) de certaines populations des sujets/citoyens des États-nations modernes.
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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 | 0.008 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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; both teacher heads agree on what is shown here.
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".