La posture alliée en recherche : des savoirs par, pour et avec les autochtones au Canada
Bibliographic record
Abstract
Au Canada, l’histoire coloniale et ses effets contemporains dans les communautés autochtones ont conduit à l’élaboration d’approches de recherche par, pour et avec les autochtones. Ces approches reposent notamment sur des méthodologies de co-production des savoirs, la propriété des données par les communautés autochtones et la dimension transformatrice du processus de recherche. Cette épistémologie pluraliste valorise les savoirs autochtones qui intègrent des dimensions spirituelles, culturelles et environnementales inséparables de leur contexte d’élaboration. En plus de présenter ces dimensions, cet article approfondit l’analyse des défis de la co-production des connaissances entre autochtones et allochtones dans le domaine de la santé, sous l’angle de la posture alliée en recherche.
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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 | 0.013 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.021 | 0.043 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".