The integrity gap : Canada's environmental policy and institutions
Bibliographic record
Abstract
Figures and Tables Acknowledgments 1. Institutions and the Integrity Gap in Canadian Environmental Policy / Eugene Lee and Anthony Perl 2. How Canada's Stumbles with Environmental Risk Management Reflect an Integrity Gap / William Leiss 3. Canadian Environmental Policy and the Natural Resource Sector: Paradoxical Aspects of the Transition to a Post-Staples Political Economy / Michael Howlett 4. International Institutions and the Framing of Canada's Climate Change Policy: Mitigating or Masking the Integrity Gap? / Steven Bernstein 5. Energy Mixes and Future Scenarios: The Nuclear Option Deconstructed / Michael D. Mehta 6. Participatory Management and Sustainability: Evolving Policy and Practice in a Mountain Environment / Fikret Berkes, Jay Anderson, Colin Duffield, J.S. Gardner, A.J. Sinclair, and Greg Stevens 7. Policy Communities and Environmental Policy Integrity: A Tale of Two Canadian Urban Air Quality Initiatives / Anthony Perl 8. Integrity of Land-Use and Transportation Planning in the Greater Toronto Area / Richard Gilbert 9. Toronto's Exhibition Place: Closing the Integrity Gap between a Nineteenth-Century Fairground and a Sustainable Twenty-First-Century City / David Gurin 10. Conclusion / Anthony Perl and Eugene Lee Notes on 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 | 0.001 | 0.001 |
| 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".