Bibliographic record
Abstract
Population growth, at both the national and global level, will most certainly impact Canada’s climate, and, more broadly, its environment. While Canada’s population has been projected to continue to grow for many decades, what happens elsewhere in terms of population growth will be particularly important to Canada. Although greenhouse gas emissions (GHGs) in Canada have levelled off somewhat over the last decade and a half, global emissions have continued to climb. As a direct result, with increased GHGs in the atmosphere, Canada’s northern climate has already been impacted in a major way with considerable warming, particularly in its most northern forests and Arctic ecosystems.L’accroissement de la population, autant à l’échelle nationale que mondiale, aura certainement un effet sur le climat au Canada et, plus largement, sur son environnement. Selon les projections, la population canadienne devrait continuer à augmenter pendant encore plusieurs décennies. Or, ce qui se passe ailleurs en termes d’accroissement de la population sera particulièrement important pour le Canada. Bien que les émissions de gaz à effet de serre (GES) au Canada se soient nivelées au cours de la dernière décennie et demie, les émissions globales ont cependant continué à grimper. En conséquence directe de cette augmentation de GES dans l’atmosphère, le climat dans le nord du Canada a déjà subi un impact majeur par un réchauffement important, surtout dans les forêts les plus au nord et les écosystèmes arctiques.Mots-clés : population et environnement; climat; utilisation d’énergie; pointe de population
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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 | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".