The effectiveness of restorative justice programs: A meta-analysis of recidivism and other relevant outcomes
Bibliographic record
Abstract
Restorative justice is an alternative approach to traditional legal system programming that focuses on repairing harm and enhancing client accountability. Despite the proliferation of restorative justice programs, research suggests that their effectiveness depends on various factors such as program type and methodological quality of the studies. The goal of this study was to synthesize the research on the effects of restorative justice in reducing recidivism as well as improving other outcomes for male and female adult clients. Information from 27 studies examining 34 unique samples was included in the meta-analysis. Results indicated that restorative justice programs were associated with significant and small reductions in general recidivism but not violent recidivism. In addition, restorative justice programs resulted in greater victim and client satisfaction, victims’ views of procedural justice, and client accountability compared to traditional legal system approaches. There were significant sample, study, and program moderators that influenced the effects of restorative justice in reducing recidivism outcomes. Taken together, the results over the past 40 years of research provide minimal support for the effectiveness of restorative justice programs in reducing recidivism overall and highlight the importance of considering moderating factors when evaluating and improving the effectiveness of restorative justice programs. Notably, this meta-analysis clearly demonstrates restorative justice’s effectiveness in improving other relevant outcomes for clients and victims.
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How this classification was reachedexpand
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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".