When does transitional justice begin and end? Colonised peoples, liberal democracies and restorative justice
Bibliographic record
Abstract
There are overlaps between restorative and transitional justice with their emphasis on inclusion, non-adversarial approaches, and values such as 'truth, accountability, reparation, reconciliation and participation' (Clamp and Doak 2012: 341, also Cunneen 2006). This chapter explores the relationship between these justice paradigms specifically in the context of Indigenous peoples in the settler colonial states of Canada, the US, Australia and New Zealand. While these states may, to arying degrees, be associated with restorative justice, they are not normally considered within a transitional justice framework. This chapter argues there is some value in challenging this assumption, and that indeed settler colonial states might be seen as 'transitional societies' in their need to confront and remedy past injustices arising from their own colonial histories (Balint et al. 2014; Cunneen 2008).
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.051 |
| Scholarly communication | 0.016 | 0.016 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 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".