Creating capacities for peacebuilding citizenship: history and social studies curricula in Bangladesh, Canada, Colombia, and México
Bibliographic record
Abstract
Public education is one influence on how young people learn to navigate social conflicts and to contribute to building democratic peace, including their sense of hope or powerlessness. Social studies curricula, in particular, introduce core concerns, geographies, governance and civil society, and participation skills and norms. History education narratives frame identity, (dis)trust or peaceful coexistence, and provide exemplars of how social conflicts and injustice have been handled in the past. To shed light on these peacebuilding and peace-blocking choices, this paper examines government-sanctioned social studies and history curricula in contrasting contexts of violent conflict and peace: Bangladesh, Colombia, México, and (Ontario) Canada. Our comparative analysis shows how these official curricula (de)normalize violence and militarism, present national identities as hegemonic/exclusive or plural/inclusive, and create opportunities for teaching/learning peacebuilding citizenship competencies such as conflict dialog, human rights awareness, and engagement in collective processes of civil society and governance.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".