Innu-Natukuna
Bibliographic record
Abstract
Fruit de la collaboration entre Hydro-Québec et Innu-Natukuna, la mesure d’atténuation présentée s’inscrit dans le suivi environnemental du complexe de la Romaine. L’objectif : organiser la cueillette de plantes médicinales dans les aires d’ennoiement des réservoirs de la Romaine-1 et de la Romaine-4 en collaboration avec la communauté innue d’Ekuanitshit. De 2011 à 2014, une équipe de cueilleuses innues, accompagnées d’une conseillère en environnement d’Hydro-Québec, a récolté des plantes médicinales sur le site des réservoirs projetés. Les séjours ont été entièrement organisés par les membres de l’équipe innue : choix du site pour le campement, installation, planification de la cueillette, etc. Au total, seize espèces de plantes médicinales ont été cueillies dans le cadre de cette mesure d’atténuation. Les plantes récoltées ont été transformées puis déposées dans la pharmacie communautaire de la communauté d’Ekuanitshit.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 0.003 |
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".