Bibliographic record
Abstract
As the world struggles to meet the growing international demands for electricity, green energy, and alternatives to fossil fuels, the nuclear power sector is experiencing global growth. Nuclear reactors are being designed and constructed at record rates, and Canada is joining the trend, with several provinces considering an expansion of their nuclear presence. Canada, the Provinces, and the Global Nuclear Revival critically examines Canadian nuclear policy in order to show how historic, environmental, economic, and political factors have shaped the direction of the nation's energy industry. Duane Bratt presents a comparative study of the Canadian nuclear sector - using a framework of interest-based coalitions - in its response to the global revival, analyzing nuclear development in Ontario, New Brunswick, Saskatchewan, and Alberta. The book also answers fundamental questions such as: Has Canada seized international opportunities in uranium mining, reactor sales, and cooperation with other countries in nuclear research? To what extent has the industry been consolidated through mergers and acquisitions, foreign investment, and the privatization of crown corporations? A state-of-the-art exploration of Canada's place in the rapidly shifting world of electricity production by an acclaimed expert in the field, Canada, the Provinces, and the Global Nuclear Revival is a major contribution to the international nuclear debate.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.017 | 0.017 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".