Enjeux politiques et épistémiques de l’intégration des connaissances autochtones : effacement des connaissances et injustices structurelles
Bibliographic record
Abstract
Résumé Cet article examine les enjeux politiques et épistémiques de l’intégration des connaissances autochtones dans les systèmes de savoirs occidentaux, en y soulignant les résidus de l’impérialisme culturel. Adoptant une perspective épistémologique sociale et constructiviste, il nuance la vision majoritairement positive de cette intégration en la resituant dans un contexte de rapports de pouvoir historiques et structurels. Malgré ses intentions inclusives, l’intégration risque d’altérer profondément les savoirs autochtones en les soumettant aux cadres occidentaux, nécessitant ainsi une remise en question des structures qui façonnent la production et la validation des connaissances.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.009 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".