Book Review: Teaching Peace and Conflict: The Multiple Roles of School Textbooks in Peacebuilding edited by Catherine Vanner, Spogmai Akseer, and Thursica Kovinthan Levi
Bibliographic record
Abstract
In Teaching Peace and Conflict: The Multiple Roles of School Textbooks in Peacebuilding, Catherine Vanner, Spogmai Akseer, and Thursica Kovinthan Levi present the Intersecting Roles of Education in Conflict framework as a tool for understanding education as a victim, accomplice, or transformer of conflict. In Myuri Komaragiri's review of the edited volume, she underscores the analytical power of the framework, asserting that it suggests that education, as illustrated in textbooks, can occupy multiple roles simultaneously, can oscillate between roles, and that the various roles are not always mutually exclusive or at odds. Komaragiri points to the fact that the transformer role is often identified as an intention, but that it has not always been actualized sufficiently to argue that prioritizing and enabling this transformational role is crucial if education is to play a role in peacebuilding.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.029 | 0.013 |
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".