Gender, Peace and Security: Women's Advocacy and Conflict Resolution
Bibliographic record
Abstract
Foreword Abbreviations and acronyms 1. Introduction 2. Women, Conflict and UNSCR 1325 The role of women in conflict and post-conflict countries UNSCR 1325: In support of women in peace-building processes 3. Women's Peace-building Efforts across the Commonwealth Examples of limited engagement in peace negotiations Sierra Leone Mozambique Zimbabwe Solomon Islands Papua New Guinea (Bougainville) Why women's engagement may be limited following conflict 4. Women and National Action Plans (NAPs) Women's involvement in the adoption of NAPs Rwanda Sierra Leone Uganda NAPs in countries at peace: a different experience United Kingdom Canada Benefits of NAPS 5. Peace and Conflict in the Commonwealth Implementation of UNSCR 1325 in selected countries (2000-2011) India Nigeria Papua New Guinea (Bougainville) Rwanda Solomon Islands Sri Lanka Uganda Afghanistan (a non-Commonwealth example) Possible scenarios for women, peace and conflict in these countries, 2011-2015 India Nigeria Papua New Guinea (Bougainville) Rwanda Solomon Islands Sri Lanka Uganda Afghanistan (a non-Commonwealth example) 6. Recommendations Recommendations for the Commonwealth Secretariat and other strategic partners Address cultural beliefs Address structural inequalities: economic opportunities Address structural inequalities: laws Address monitoring and evaluation Develop a Commonwealth model for the adoption of NAPs Collaborate with other local and international actors Support women's inclusion in peace processes Work with countries at peace to prevent conflict and engender peacekeeping Recommendations for Commonwealth member states Document lessons learned and best practices Take a multi-sectoral approach to the adoption of NAPs Collaborate with the private sector and civil society organisations Align reporting of NAPs with the Commonwealth Gender Plan of Action Domesticate NAPs into national laws Dedicate funds for the implementation of NAPs Introduce accountability measures for NAPs References Annex. United Nations Security Council Resolution 1325
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.051 | 0.006 |
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".