Creating Inclusive Reconciliation and Reporting Spaces with Children: Valuing Their Stories
Bibliographic record
Abstract
Introduction Truth and Reconciliation Commissions (TRCs) are a widely used mechanism in the transitional justice toolkit today. The purpose and success of TRCs is widely debated within transitional justice scholarship (see Jeffery and Mollica, 2017: 531). Yet there is broad agreement among practitioners and scholars that their emphasis on storytelling provides important opportunities for dialogue within transitional communities, which enables these societies to confront past human rights violations (Quinn, 2010; Philpott, 2015). Participation of children in this dialogue is often ambiguous, inconsistent, highly mediated, and driven by political agendas. As demonstrated throughout this chapter, this ambiguity is evident in how TRCs manage their relationships with children, specifically their obligation to inform on the outcomes of their political participation. Of the 52 TRCs that have occurred since the 1970s, only the reports from Sierra Leone, Timor-Leste, and Canada have been reproduced in forms that children can access and engage with substantively. As such, many TRCs perpetuate marginalizing, apolitical discourses of childhood by excluding children from the political outcomes of reconciliation that their knowledge contributed to through storytelling. Where children are concerned, the value assigned to their stories by transitional justice mechanisms often denotes a politicized agenda, overlooking the empowerment potential for the individual. Through the act of public sharing, storytelling can ‘reconstitute families, communities and relations’ while allowing individuals to ‘find one’s voice in the making of … history’ (Baines and Stewart, 2011: 258). Yet children’s stories have become inextricably tied to broader peace narratives, thus producing a tension between the collective and the individual. This is compounded by the nature of their participation, which requires that their stories are retold and shared through mechanisms that are often inaccessible and disconnected from their reconciliation experiences, particularly during the dissemination phase. Children’s interactions with institutionalized reconciliation practices such as TRCs, therefore, are often static and unresponsive, as the use of their stories as symbols for external political pursuits or the international peace agenda has become normalized. To that end, within the international peace architecture, Children and their lived experiences are often reduced to political resources despite widespread performative political engagement through testimony at TRC hearings and other consultative forums.
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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 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.017 |
| Scholarly communication | 0.015 | 0.013 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".