Expressions ordinaires et politiques du racisme anti-autochtone au Québec
Bibliographic record
Abstract
Contrairement aux approches systémiques du racisme, cet article s’intéresse aux acteurs racistes et aux différentes logiques qui structurent leurs pratiques et leurs discours. Il cherche à comprendre la manière dont s’articulent le racisme différentialiste, le racisme d’infériorisation et le racisme universaliste. L’enquête ethnographique menée à Sept-Îles au Québec entre 2005 et 2009 met en évidence les pratiques et les discours racistes en se concentrant principalement sur deux situations conflictuelles : l’entrée des Innus dans le secteur des pêches commerciales et les revendications territoriales pour la restitution du Nitassinan. L’analyse de ces situations de nature économique et politique permet de discerner les multiples articulations des logiques du racisme et leurs variations en fonction des acteurs, de leurs positions et des rapports qu’ils entretiennent avec les Innus. Le racisme anti-autochtone apparaît traversé par un ensemble de tensions et d’oppositions qui en font un phénomène non pas unifié, mais plutôt éclaté.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.013 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".