MétaCan
Menu
Back to cohort
Record W1507757881

Imagining Success for a Restorative Approach to Justice: Implications for Measurement and Evaluation

2013· article· en· W1507757881 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueeYLS (Yale Law School) · 2013
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsSaint Mary's UniversityDalhousie University
FundersPublic Safety Canada
KeywordsRestorative justiceFoundation (evidence)Economic JusticeSociologyCriminal justiceEngineering ethicsEpistemologyCriminologyPolitical sciencePsychologyPublic relationsSocial psychologyLawEngineering
DOInot available

Abstract

fetched live from OpenAlex

Whether restorative justice is “successful,” or not, is a complex question. Attempts to answer this question by practitioners, professionals, and scholars have often been bounded by common notions of success in standard criminal justice terms. The authors of this paper suggest that if restorative justice is properly understood in terms of its focus on relationship, success should be measured on new and different dimensions. This paper seeks to bring a relational imagination to the scholarly effort of capturing the essence of restorative justice and figuring out how to assess its successes and failures. The authors offer a foundation and agenda for future research and development of a relational approach to assessment.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.758
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.097
GPT teacher head0.375
Teacher spread0.277 · 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