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Record W6920484329 · doi:10.60770/9qeb-zj47

Restorative justice and desistance

2024· article· en· W6920484329 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMRU-Repo · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsMount Royal University
Fundersnot available
KeywordsRestorative justiceContext (archaeology)Economic JusticeCriminal justiceRetributive justiceQualitative research

Abstract

fetched live from OpenAlex

Dissatisfaction with traditional forms of crime control in the context of youth offending has led to the exploration of alternative paradigms such as restorative justice. This study outlines restorative justice as both a theory and set of penal policies before discussing its practices. Also, this study examines the relationship between restorative justice and desistance. Desistance is both an outcome measure of restorative justice as well as a paradigm of its own. This study finds that restorative justice practices produce desistance across a range of practices and contexts regarding youth offenders. Differential effectiveness, long touted as a pitfall of restorative justice research is also addressed. This study finds that despite variations in restorative justice practices as well as differences in the offenders that participate in them, overall, restorative justice has statistically significant effects of the production of desistance. This research also outlines a more qualitative understanding of how restorative justice mechanisms work with young offenders in producing desistance. Concepts such as reintegrative shaming, the role of dialogue, systems, of support, and procedural justice are described. This research concludes by offering suggestions for research in the future, such as the effect of socio-economic status on restorative justice outcomes, a greater degree of variation in sample size, and a focus on conducting and citing randomized trials. Further use of restorative justice as well as further research into its implementation and data collection is encouraged, as well as a need to examine the applicability of restorative justice in minority contexts.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
Threshold uncertainty score0.823

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.033
GPT teacher head0.356
Teacher spread0.322 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it