Phasing out coal-fired electric power generation - implications for public health Canada
Bibliographic record
Abstract
Case study: Phasing out coal-fired electric power generation in Canada Phasing out coal-fired electric power generationimplications for public health Canada: a success story Key messageCanadian federal and provincial governments have effectively implemented policies to address greenhouse gas (GHG) emissions from the combustion of fossil fuel for electric power generation (EPG), particularly through the policy of eliminating conventional coal-fired EPG units in Canada by 2030.Such policies have the additional benefit of greatly reducing air pollution emissions from this sector, resulting in billions of dollars of population health benefits, which can help to offset the costs of climate change mitigation. WHO Air Quality, Energy and Health Science and Policy Summaries Key definitions Electric power generation (EPG):The process of producing electricity to power households, industries and transit systems.It involves converting various energy sources, such as fossil fuels (coal, natural gas), nuclear and renewables (wind, solar, hydro), into electrical energy. Greenhouse gas (GHG):Gases emitted from the combustion of fossil fuels (e.g.coal) and other processes that trap heat in the atmosphere, contributing to global warming and climate change.Common GHGs include carbon dioxide (CO 2 ), methane (CH 4 ) and nitrous oxide (N 2 O).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".