Bibliographic record
Abstract
Le Canada, qui se classe au deuxième rang mondial en termes de superficie et représente la onzième puissance économique de l’OCDE, possède d’abondantes ressources naturelles. Il figure parmi les premiers producteurs d’énergie du monde et parmi les grands producteurs et exportateurs de produits agricoles. Son vaste territoire abrite une grande diversité d’écosystèmes et d’immenses étendues de nature sauvage. Ce troisième Examen environnemental du Canada montre que le pays a découplé sa croissance économique de diverses sources de pressions environnementales. Il reste néanmoins confronté à plusieurs défis liés à la consommation élevée d’énergie et de ressources, aux importantes émissions de gaz à effet de serre et aux pressions locales exercées sur la biodiversité et les ressources hydriques. Bien que la plupart des Canadiens jouissent d’une bonne qualité de l’air et d’un accès satisfaisant aux services environnementaux, beaucoup de collectivités autochtones ne bénéficient pas d’un accès égal à certains services essentiels et se trouvent davantage exposées aux risques environnementaux.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.335 | 0.134 |
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".