La recherche collaborative en géographie avec les Autochtones. Eléments pour une approche critique
Bibliographic record
Abstract
La recherche entre des Autochtones et des chercheurs extérieurs à leur communauté est de plus en plus conditionnée par un protocole collaboratif. Il s’appuie sur des conditions souvent très strictes de la part des autochtones et un cadre réglementaire astreignant. Comment une recherche collaborative est-elle possible dans ces conditions ? Nous tentons d’apporter quelques éléments de réponse en nous demandant ce que peut être une recherche collaborative avant de voir comment la mettre en place grâce à une expérience, celle d’une coopération avec les Lil’wat dans l’ouest du Canada. Nous nous interrogeons ensuite sur les intérêts et les limites de cet exemple.
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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 | 0.176 | 0.284 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.010 |
| Science and technology studies | 0.012 | 0.026 |
| Scholarly communication | 0.030 | 0.036 |
| Open science | 0.007 | 0.017 |
| Research integrity | 0.012 | 0.010 |
| Insufficient payload (model declined to judge) | 0.015 | 0.005 |
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".