Restorative Justice, Reconciliation, and Peacebuilding
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
All over the world the practice of peacebuilding is beset with common dilemmas: peace versus justice, religious versus secular approaches, individual versus structural justice, reconciliation versus retribution, and the harmonization of the sheer multiplicity of practices involved in repairing past harms. Progress toward the resolution of these dilemmas requires far more than reforming institutions and practices; rather, it requires clear thinking about the more basic questions: What is justice? And how is it related to the building of peace? The twin concepts of reconciliation and restorative justice, both involving the holistic restoration of right relationship, contain not only a compelling logic of justice but also great promise for resolving peacebuilding’s tensions and for constructing and assessing its institutions and practices. This volume furthers this potential by developing not only the core content of these concepts but also their implications for accountability, forgiveness, reparations, traditional practices, human rights, and international law. While the volume’s central orientation is theory, it contains much of interest to a wide range of scholars as well as practitioners. It is both interdisciplinary and accessibly written. It situates its analysis in countries as diverse as South Africa, El Salvador, Canada, and East Timor and in the work of institutions and communities such as the United Nations, the Catholic Church, various indigenous communities, and the international law community. It contains chapters by leading scholars of restorative justice, international law, transitional justice, political philosophy, and theology.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it