Population growth, energy use, and environmental impact: Comparing the Canadian and Swedish records on CO2 emissions
Bibliographic record
Abstract
There are many similarities between Canada and Sweden, as both are relatively affluent northern nations with diverse modern economies. Both have witnessed demographic growth and climbing affluence, with predominantly export-oriented economies. Yet in terms of their respective records on greenhouse gas emissions, there is a stark contrast between the two. Sweden is often considered a world leader in reducing emissions, whereas Canada has been widely criticized for its failure to meet international commitments. The current paper attempts to delineate some of the factors responsible for the observed differences between the two countries. It examines trends in environmental impact (CO2 levels) by applying a modified and updated version of Ehrlich’s IPAT equation. The crux of the matter in comparing the two countries is Canada’s substantial population growth and heavy demand for energy (29th among 30 countries in the OECD on our measure of energy intensity) whereas Sweden has managed to move away from fossil fuels in driving its economic activity.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.013 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 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".