Peacebuilding Education to Address Gender-Based Aggression: Youths' Experiences in Mexico, Bangladesh, and Canada
Bibliographic record
Abstract
Building durable peace through education requires addressing the gender ideologies and hierarchies that encourage both direct physical aggression and indirect harm through marginalization and exploitation. Although formal education systems are shaped by gendered patterns of social conflict, enmity, and inequity, schools can help young people to build on their inclination, relationships, and capability to participate in building sustainable, gender-just peace. In this paper, we draw from focus group research conducted with youth and teachers in public schools in Mexico, Bangladesh, and Canada to investigate how young people understood the social conflicts and violence surrounding them and what citizens could do about these issues; and how their teachers used the school curricula to address them. The research revealed that gender-based violence was pervasive in students' lives in all three settings, yet the curriculum the teachers and students described, with minor differences between contexts, included few opportunities to examine or resist the gender norms, institutions, and hierarchies that are the roots of exploitation and violence.
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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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".