MétaCan
Menu
Back to cohort
Record W2047902923 · doi:10.3138/cjccj.50.2.117

The Rise and Fall of RCMP Community Justice Forums: Restorative Justice and Public Safety Interoperability in Canada

2008· article· en· W2047902923 on OpenAlex
John Edward Deukmedjian

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsRestorative justicePeacemakingAgency (philosophy)Government (linguistics)Public administrationEconomic JusticeCorporate governancePublic relationsPolitical scienceInteroperabilityCollaborative governanceImmigrationSociologyCriminologyLawBusinessSocial science

Abstract

fetched live from OpenAlex

RCMP executives and the Canadian government promoted community justice forums (family group conferences) in the late 1990s. They did so because CJFs offered a process consistent with the national community-policing strategy. When this strategy changed, executives cut their support for the program. This paper argues that this “rise” and “fall” was a function of the program's theoretical and procedural alignment with shifting strategies of national governance. This raises a question about the role of restorative forums in Canadian governance. If such programs remain desirable, multi-agency forums (police, public schools, child welfare, immigration) may well align with the nascent governmental framework of public safety interoperability. The paper also considers another possibility: non-state local peacemaking forums. The conclusion discusses potential benefits and limits of these possibilities. It also offers general theoretical observations on the role of alignment in governmental programming.

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)0.004
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.004
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.184
GPT teacher head0.348
Teacher spread0.164 · 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