Bulletin de l'Observatoire international sur le racisme et les discriminations
Bibliographic record
Abstract
Description : L’Observatoire international sur le racisme et les discriminations publiait un bulletin annuel faisant état de l’actualité et des développements dans le domaine du racisme et des discriminations*. Lancé en mars 2003, l'Observatoire international sur le racisme et les discriminations avait pour but premier d'établir un pont entre la recherche universitaire sur le racisme et les discriminations, et la réflexion publique sur ces questions, dans les milieux d'intervention, tant gouvernementaux que non-gouvernementaux. Dans ce numéro : Lutter contre le racisme et les discriminations en Europe : tendances et défis Médias et processus de racisation : quelles approches pour quelles actions? Saint-Justin adhère à la Coalition canadienne des municipalités contre le racisme et la discrimination Lutte aux incivilités et profilage racial Le 23 août, journée internaionale du souvenir de la traite négrière et de son abolition *Les bulletins de l'Observatoire international sur le racisme et les discriminations étaient hébergés sur le site du Centre de recherche en immigration, ethnicité et citoyenneté (CRIEC) de l'UQAM. Ce dernier a cessé ses activités à l'été 2020.
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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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.069 | 0.023 |
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".