Nuclear waste management in Canada : critical issues, critical perspectives
Bibliographic record
Abstract
Abbreviations 1 Critical Perspectives on the Nuclear Story / Darrin Durant and Genevieve Fuji Johnson 2 The Trouble with Nuclear / Darrin Durant 3 An Official Narrative: Telling the History of Canada's Nuclear Waste Policy Making / Darrin Durant and Anna Stanley 4 The Long Haul: Ethics in the Canadian Nuclear Waste Debate / Peter Timmerman 5 Public Consultation as Performative Contradiction: Limiting Discussion in Canada's Nuclear Waste Debate / Darrin Durant 6 The Darker Side of Deliberative Democracy: The Canadian Nuclear Waste Organization's National Consultation Process / Genevieve Fuji Johnson 7 Representing the Knowledges of Aboriginal Peoples - The Management of Diversity in Canada's Nuclear Fuel Waste / Anna Stanley 8 Canadian Communities and the of Nuclear Fuel Waste / Brenda L. Murphy 9 Situating Canada's Approaches to Siting a Nuclear Fuel Waste Facility / Brenda L. Murphy and Richard Kuhn References Contributors Index
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 | 0.015 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.018 |
| Science and technology studies | 0.061 | 0.040 |
| Scholarly communication | 0.030 | 0.009 |
| Open science | 0.005 | 0.007 |
| Research integrity | 0.010 | 0.010 |
| Insufficient payload (model declined to judge) | 0.009 | 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".