Canadian environmental policy and politics : prospects for leadership and innovation
Bibliographic record
Abstract
TABLE OF CONTENTS DEDICATION INTRODUCTION (DEBORA L. VANNIJNATTEN AND ROBERT BOARDMAN) PART I - CANADIANS AND THEIR ENVIRONMENT 1. - The Environmental Movement in Canada (Robert Paehlke) 2. - The Green Vote in Canada (Steven D. Brown) PART II - MAKING ENVIRONMENTAL LAW AND POLICY 3. - The Courts and Environmental Policy Innovation (Marcia Valiante) 4. - Policy Instruments in Canadian Environmental Policy (Mark Winfield) 5. - Defining Effective Science for Canadian Environmental Policy Leadership (STEPHEN BOCKING) 6. - Spinning Wheels and Losing Traction (Glen Toner and James Meadowcroft) PART III - ENVIRONMENTAL GOVERNANCE AT MULTIPLE LEVELS 7. - The North American Context (Debora L. VanNijnatten) 8. - Sustaining Canadian Cities (Mary Louise McAllister) 9. - Aboriginal People and Environmental Regulation (Graham White) 10. - Environmental Governance at Multiple Levels (Robert Boardman) PART IV - ENVIRONMENTAL POLICY CASES 11. - The Failure of Canadian Climate Change Policy (Douglas Macdonald) 12. - Renewable Electricity (Ian H. Rowlands) 13. - From Old to New Governance in Canadian Forest Policy (Michael Howlett, JEREMY RAYNER, AND CHRIS TOLLEFSON) 14. - The Politics of Extinction (Stewart Elgie) 15. - Water Pollution Policy in Canada (Carolyn Johns and Mark Sproule-Jones) 16. - Mercury Science-Policy Debates (Bruce Lourie) 17. - Reform, Not Revolution (Sarah B. Pralle) APPENDIX: SELECT BIBLIOGRAPHIES FOR ENVIRONMENTAL ISSUES CONTRIBUTORS INDEX
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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 | 0.000 | 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) | 0.000 | 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".