“There is no peace when you are excluded”: exploring peace and peacebuilding with children and youth affected by armed violence
Bibliographic record
Abstract
The global community is becoming increasingly fragile, plagued with intensifying armed violence, fracturing democratic governance processes, diminishing commitments and actions to protect basic human rights, and raging climate crises. Amid these complexities, children and youth are disproportionately impacted, and all signs point to increased precarity of their rights. Young people affected by armed violence are particularly suffering, thus understanding their rights and needs during and post conflict is essential to building effective peace and security. This research features the peace perspectives of 50 children and youth, all impacted by armed violence, and demonstrates the power of listening to young people's visions for peace. The key findings illustrate the importance of interpersonal peace, learning peacebuilding skills, and the essential role that children and youth play in building peace in their homes, schools, and communities. Recommendations for meaningful child engagement in the development of a Children, Peace, and Security Agenda are featured.
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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 | 0.009 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.011 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".