Aperçu - Les effets des changements climatiques sur la santé et le bien-être dans les régions rurales et éloignées au Canada : synthèse documentaire
Bibliographic record
Abstract
Cet article présente une synthèse de la version préliminaire du chapitre à venir « Collectivités rurales et éloignées » de l’Évaluation nationale des changements climatiques du gouvernement du Canada, et il répertorie les principales préoccupations en matière de santé exposées dans la littérature sur les changements climatiques à propos des régions rurales et éloignées, ainsi que les stratégies d’adaptation actuelles et celles à mettre en place. Cet aperçu, fondé sur un processus de recherche systématique, souligne l’importance de tenir compte des composantes socioculturelles, économiques et géographiques spécifiques de ces régions ainsi que de l’expertise dont disposent déjà leurs habitants et leurs collectivités si l’on veut contribuer à la santé et au bien-être des populations qui subissent les effets nocifs des changements climatiques.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".