MétaCan
Menu
Back to cohort
Record W4409015089 · doi:10.1002/casp.70081

“We Are a Sounding Board”: The Role of Community Volunteers in a Restorative Justice Program

2025· article· en· W4409015089 on OpenAlexfundno aff
Hila Avieli, Briana Barocas, Rei Shimizu, Sejung Yang, Krushika Uday Patankar, Layla Al Neyadi, Luisa Prout

Bibliographic record

VenueJournal of Community & Applied Social Psychology · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
FundersJustice ProgrammeYork University
KeywordsRestorative justiceDepth soundingEconomic JusticePolitical sciencePsychologySociologyCriminologyLawGeographyCartography

Abstract

fetched live from OpenAlex

ABSTRACT Incorporating community volunteers in restorative justice programmes is a prevalent practise that offers various benefits. However, despite these programmes' extensive reliance on volunteers, there is a significant knowledge gap regarding the roles they play. The aim of this study was to address this gap by examining how stakeholders and participants in Circles of Peace, a restorative justice programme for domestic violence, perceived the role of community volunteers. To underpin this examination, the Communities of Practise theoretical framework was used. Multiple interviews were conducted with 16 circle participants and stakeholders, in the form of individual interviews and in focus groups and were analysed using interpretive phenomenological analysis. Three themes emerged from the participants' narratives: (1) Representation roles; (2) Support and nurture roles; and (3) Reintegration roles. The findings suggest that volunteers in the Circles of Peace programme play multifaceted roles that extend beyond traditional support functions. These roles can potentially have a profound impact on the experiences of the circle participants, highlighting the practical implications of our research for the design and implementation of restorative justice programs.

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 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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.151
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
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 head0.059
GPT teacher head0.430
Teacher spread0.371 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Community & Applied Social PsychologySame topicCriminal Justice and Corrections AnalysisFrench-language works237,207