Pathways to Net-Zero: Opportunities for Canada in a Changing Energy Sector
Bibliographic record
Abstract
The climate is changing, and Canada is changing with it. Canada has committed to reducing its greenhouse gas emissions. Initiatives have been taken, but more work is needed. Private enterprise is key to the invention, improvement, and proliferation of sustainable energy sources. The extent to which the Canadian economy can be decarbonized hinges in part on how effectively regulatory schemes facilitate and incentivize commercial endeavours to exploit low-carbon energy sources. This article accordingly evaluates foreseeable regulatory frameworks for three new lower-carbon energy sources: hydrogen, geothermal energy, and biofuels. The thread running throughout this article is that, while there are many challenges ahead, there is also opportunity: regulatory schemes are evolving and adapting to support business ventures that monetize these three renewable energy sources.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.010 | 0.008 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.011 | 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".