Feminist Perspectives on Canadian Foreign Policy
Bibliographic record
Abstract
Contributors Acronyms Preface 1. Taking Up and Throwing Down the Gauntlet: Feminists, Gender, and Canadian Foreign Policy 2. Engaging the Possibilities of Magic: Feminist Pedagogy and Canadian Foreign Policy Part 1: Internationalism and Globalization 3. Disrupting Internationalism and Finding the Others 4. Gender and Canadian Trade Policy: Women's Strategies for Access and Transformation 5. Of Playing Fields, Competitiveness and the Will to Win: Representations of Gender and Globalization Part 2: Human Security 6. Militarized Masculinities and the Politics of Peacekeeping: The Canadian Case 7. Myths of Canada's Human Security Pursuits: Tales of Tool Boxes, Toy Chests, and Tickle Trunks 8. Masculinities, Femininities, and Sustainable Development: A Gender Analysis of DFAIT's Sustainable Development Strategy Section 3: Human Rights 9. Women's Human Rights: Canada at Home and Abroad 10. Discourses and Feminist Dilemmas: Trafficking, Prostitution, and the Sex Trade in the Philippines 11. The Contradictions of Canadian Commitments to Refugee Women Section 4: Women's Organizing 12. It's Time for Change: A Feminist Discussion of Resistance and Transformation in Periods of Liberal World Order 13. Organizing for Beijing: Canadian NGOs and the Fourth World Conference on Women 14. Gendered Dissonance: Feminists, FAFIA, and Canadian Foreign Policy Bibliography 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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.010 |
| Science and technology studies | 0.033 | 0.015 |
| Scholarly communication | 0.011 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.035 | 0.002 |
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".