Bibliographic record
Abstract
Preface Acknowledgments Chronology of Events Part 1: Canada's APEC Summit, 1997 1. Policing, the Rule of Law, and Accountability in Canada: Lessons from the APEC Summit / W. Wesley Pue Part 2: Constitutional Fundamentals 2. Free Speech, Democracy, and the Question of Political Influence / Andrew D. Irvine 3. Relax a Bit in the Nation: Constitutional Law 101 and the APEC Affair / Margot E. Young 4. The APEC Protest, the Rule of Law, and Civilian Oversight of Canada's National Police Force / Donald J. Sorochan, QC 5. The Significance of the APEC Affair / Joel Bakan Part 3: Policing and Accountability 6. Someone to Watch over Me: Government Supervision of the RCMP / Philip C. Stenning 7. Hand in Glove? Politicians, Policing, and Canadian Political Culture / Nelson Wiseman 8. Forcing the Issues: Police Use of Force at the APEC Protest / Constable Gil Puder Part 4: Public Accountability in a Free and Democratic Society 9. Forces of Journalism / Terry Milewski 10. Personal Reflections on the Ill-Fated First APEC Inquiry / Gerald M. Morin 11. Raising the Dough: Funding for Lawyers at Public Inquiries / Karen Busby Part 5: Globalization and Canadian Rights 12. The 1997 APEC Summit and the Security of Internationally Protected Persons: Did Someone Say Suharto? / Obiora Chinedu Okafor 13. A Whole Theatre of Others: A Personal Account of APEC 1997 / Arnab Guha 14. Whither APEC? / Jane Kelsey Appendices References Cited Contributors Index
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.002 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.157 | 0.051 |
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".