Gender, Peacekeeping, and Child Soldiers: Training and Research in Implementation of the Vancouver Principles
Bibliographic record
Abstract
Since the passage of UN Security Council resolution 1325, there has been a growing focus on the involvement of women in peacekeeping operations. Ambitious UN targets, the Vancouver Principles, and the Canadian government’s Elsie Initiative all aim to support the increased inclusion of uniformed women in peacekeeping missions. This article discusses three areas in which the Roméo Dallaire Child Soldiers Initiative (Dallaire Initiative) is working to support Vancouver Principle (VP) 11 through the training of women security sector actors, training on gendered dimensions of the recruitment and use of child soldiers and SGBV against child soldiers, and through research on how gender matters in peacekeeping operations. Based on these experiences and an engagement with the academic literature, it makes a number of policy recommendations in support of VP 11.Keywords: gender, peacekeeping, training, child soldiers, SGBV
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".