The ethic of traditional communities and the spirit of healing justice : a grounded comparative analysis of three communities
Bibliographic record
Abstract
More and more the language of healing justice is being used to point away from state-oriented justice and towards some kind of alternative. However, very little research explores the nature of healing justice. What is healing justice? Who practices it? What does it look like? What kinds of relationships are needed so sustain a more healing orientation to justice?This thesis explores these questions through comparative case studies of three traditional communities which have, or are said to have, a practice of healing justice: Hollow Water, an Aboriginal community in Canada; the Iona Community, a Christian community in Scotland; and Plum Village, a Vietnamese-inspired Buddhist community in Southern France (which is home to the world-renowned Buddhist peacebuilder Thich Nhat Hanh).Through field research conducted in partnership with these communities, I have searched for the kind of social, structural and spiritual relationships that are necessary to sustain a healing view of justice. Through comparative analysis I have found common patterns, themes, and imagination which these communities share. These commonalities among those that practice healing justice are then examined for their implications for wider society, particularly for restorative justice and criminal justice.The findings of this research are groundbreaking for the fields of restorative justice and criminal justice. In this first international comparative study on healing justice, the research concludes that healing justice does exist as a phenomenon across three communities which differ in etbnicity, religion, language and geography. The major features of what sustains a healing way of justice, according to this study, are having particular relationships with the Earth, the Spirit, the collective, and with those who are suffering. Furthermore, healing justice is sustained by a consistence between the means and ends of healing justice and by using harms as an opportunity to unfold a healing justice paradigm.
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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 | 0.011 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.022 | 0.023 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".