Bibliographic record
Abstract
Greater participation by women in peace negotiations, policy-making, and legal decision-making would have a lasting impact on conflict resolution, development, and the maintenance of peace in post-conflict zones. Women, Peace, and Security lays the groundwork for this enhanced participation, drawing from insightful research by women scholars and applying a feminist lens to contemporary security issues.This timely collection of essays promotes the adoption of a feminist framework for international security issues and presents the voices of some of the most inspiring thinkers in feminist international relations in Canada. Women, Peace, and Security provides insightful recommendations to researchers conducting fieldwork, as well as methodological insights on how to develop feminist research design in international relations and how to adopt feminist ethical considerations. Contributions include gender-based analyses of the challenges faced by the Canadian military and by families of serving members. From Canada's Famous Five to the women's marches of 2017, lessons are drawn to inform new generations of women activists, concluding with a clarion call for greater allyship with Indigenous women and girls to support decolonization efforts in Canada.Offering a unique range of perspectives, narratives, and contributions to international relations and international law, this volume brings women's voices to the forefront of vital conversations about fundamental peace and security challenges.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".