Bibliographic record
Abstract
Introduction: 'What's So Critical about Canadian Foreign Policy?' PART I: DOING CANADIAN FOREIGN POLICY 1. 'Disciplining Nature of Canadian Foreign Policy' 2. 'Home and Away: Public Diplomacy and the Canadian Self' PART II: FIGHTING THE GLOBAL WAR ON TERROR 3. 'Canada-US Defence Relations: Weapons of Mass Control and a Praxis of Mass Resistance' 4. 'Constructing Canadian Foreign Policy: Myths of Good International Citizens, Protectors, and the War in Afghanistan' 5. 'Fighting the War and Winning the Peace: Three Critiques of Canada's Role in Afghanistan' 6. 'Canadian Border Policy as Foreign Policy: Security, Policing, Management' PART III: SECURITY AND SELF AFTER 9/11 7. 'Clandestine Convergence: Human Security, Power, and Canadian Foreign Policy' 8. 'No CANDU: The Multiply-Nuclear Canadian Self' 9. 'The Art of Governing Trauma: Treating PTSD in the Canadian Military as a Foreign Policy Practice' 10. 'Happy Is the Land That Needs No Hero: The Pearsonian Tradition and the Canadian Intervention into Afghanistan' PART IV: OTHER DIPLOMACIES 11. 'Youth Ambassadors Abroad? Canadian Foreign Policy and Public Diplomacy in the Developing World' 12. 'About Solitude, Divorce, and Neglect: The Linguistic Division in the Study of Canadian Foreign Policy' 13. 'At Home on Native Land: Canada and the United Nations Declaration on the Rights of Indigenous Peoples' Conclusion: 'Critical Conclusions about Canadian Foreign Policy'
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.032 | 0.018 |
| Scholarly communication | 0.021 | 0.007 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.010 | 0.009 |
| Insufficient payload (model declined to judge) | 0.064 | 0.009 |
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".