Creating Inclusive Reconciliation and Reporting Spaces with Children: Valuing Their Stories
Bibliographic record
Abstract
The conflict stories of children are integral to meaningful reconciliation following violence. Increasingly, children’s stories and their identities have come to reflect a broader peace narrative within transitional justice. Yet often the participation of children is retold and shared through mechanisms that are inaccessible and disconnected from their reconciliation experiences. As such, children’s interactions with reconciliation practices are often static, heavily mediated and unresponsive, particularly when their stories are used as symbols for a political agenda. Only three Truth and Reconciliation Commissions (TRCs) – Canada, Sierra Leone, and Timor-Leste – have created accessible conflict narrative reports that facilitate children’s political engagement in reconciliation. This chapter considers the role of child-friendly reports in delivering reconciliation processes that recognize children as political actors rather than embodiments of peace. It argues that TRCs have an obligation to produce accessible reports that fulfil the state’s obligation to children as citizens. By normalizing accessible reporting standards, opportunities are created for inclusive international processes with not for children even beyond the reconciliation space.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".