Les régions écologiques du territoire de la baie de James : caractéristiques dominantes de leur couvert végétal
Bibliographic record
Abstract
En l'absence de données climatiques analytiques adéquates, la recherche de discontinuités dans la végétation, confrontées avec des limites climatiques synthétiques, permet de définir des climats régionaux distinctifs. La recherche de ces discontinuités s'effectue en deux étapes. Tout d'abord nous avons retenu 202 relevés phytoécologiques établis sur des tills bien drainés dont l'homogénéité texturale a été statistiquement vérifiée. Sur cet ensemble, nous étudions la distribution territoriale des principales espèces végétales qui nous permettent de définir des zones macroclimatiques. Ensuite, au-delà de 900 reconnaissances écologiques sont identifiées par un type physionomique de végétation dominant, expression structurale de la végétation, dont la répartition territoriale permet de subdiviser en 19 régions écologiques l'ensemble des 400 000 km 2 inventoriés dans le territoire de la baie de James.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".