Bibliographic record
Abstract
Restorative justice was reborn in the 1970s with a promise to provide a better sense and experience of justice, especially for those who are let down the most by the criminal justice system. And yet, despite well-evidenced disproportionality and race inequality issues within criminal justice institutions, restorative justice research and practice within the context of race are almost nonexistent. This article aims to unravel this paradox while looking at the scant extant literature to explore the alternative and more personalized restorative justice vision of “the other” and cultural differences. An expansive conceptual model that is aligned with the integrative nature of restorative justice is then posited for further pilots and research. The article warns that if restorative justice continues to ignore the challenges raised within a race equality context, the power structures inherent within our current structural framework of criminal justice will lead to its demise.
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 | 0.014 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.027 | 0.058 |
| Scholarly communication | 0.016 | 0.021 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.006 | 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".