Maîtres chez nous ? Racisme envers les peuples autochtones au Québec et au Canada
Bibliographic record
Abstract
Résumé Le texte a pour objet le racisme à l’endroit des peuples autochtones au Québec et au Canada. Il se penche sur les représentations collectives de la population dominante à leur sujet, illustrant les processus par lesquels les autochtones sont occultés et stéréotypés dans l’espace social. Les stéréotypes les plus courants, soit « l’Indien violent », « l’Indien onéreux », « l’Indien saoul » et le « noble sauvage », sont discutés et situés dans leurs contextes institutionnalisés au moyen d’exemples cliniques. Une discussion est également amenée sur le rapport entre autochtones et Québécois francophones, deux groupes qui se définissent comme culturellement opprimés au sein du Canada. La conclusion aborde les intérêts en jeu dans la dynamique de discrimination structurelle envers les autochtones.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.015 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".