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Record W4402759482 · doi:10.3138/cjccj-2024-0016

The Administration of Youth Justice Through the Lens of Community-Based Service Providers: Risk Factors and Programming Challenges

2024· article· en· W4402759482 on OpenAlexaffvenueabout
Zachary Rowan, Alissa Greer

Bibliographic record

VenueCanadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsService providerEconomic JusticeAdministration (probate law)Service (business)BusinessPublic relationsLens (geology)Political scienceMarketingEngineeringLaw

Abstract

fetched live from OpenAlex

Since the Youth Criminal Justice Act of 2003 in Canada, the juvenile justice system has prioritized diverting youth away from in-custody sentences (incarceration in jail, prison, or other facilities) and towards a community-based system of justice. Despite this shift, there is limited research directly examining the experience of community-based service providers that were responsible for this shift in adjudicating youth. To understand the experience of working with youth involved in the system, we conducted semi-structured interviews with youth justice workers from one of the largest community-based organizations in a western Canadian province that offer alternatives to custody for at-risk youth. Findings provide a complex depiction of youth risk factors and illustrate the successes and challenges of administering youth justice in a community context.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.431
Threshold uncertainty score0.867

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.017
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0230.012
Scholarly communication0.0130.005
Open science0.0040.012
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.180
GPT teacher head0.345
Teacher spread0.165 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2024
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale→Same topicCriminal Justice and Corrections Analysis→French-language works237,207→