Adaptations of Truth and Reconciliation Commissions in the North American Context: Local Examples of a Global Restorative Justice Intervention
Bibliographic record
Abstract
Truth and Reconciliation Commissions (TRCs) are restorative justice mechanisms for addressing human rights violations and injustice at the macro level. Mainly applied in the Global South, they have only recently been adapted within North America. The Greensboro, NC TRC was launched by grassroots and community-based organizations in 2004 to examine the causes and consequences of a 1979 incident of racial violence. The Canadian TRC was established in 2008 to address the legacy of colonial policies of assimilation and the forced schooling of indigenous populations. Through a comparison of these two cases, this paper will investigate how the North American context shapes the nature of the problems that these TRCs address, how they are organized, their relationship to the legal system, the role of civil society, and their relationship to poverty and reparations. Implications for social work, restorative justice and the potential for additional TRCs in North America are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.012 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".