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Record W2796998209 · doi:10.29173/alr1354

Diversion, Conferencing, and Extrajudicial Measures for Adolescent Offenders

2003· article· en· W2796998209 on OpenAlexvenueaboutno aff
Nicholas Bala

Bibliographic record

VenueAlberta Law Review · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsEconomic JusticeRestorative justiceCriminologyCriminal justicePolitical scienceLawBusinessPsychology

Abstract

fetched live from OpenAlex

In responding to youth crime, Canada makes disproportionate use of courts and custodial sentences, while other countries divert more youth from the formal justice system and make greater use of community-based responses. This article surveys diversion from the youth courts under the different youth justice regimes that have existed in Canada, including informal and formal screening, police and Crown cautions, and use of youth justice committees and conferencing. The newly enacted Youth Criminal Justice Act is intended to encourage greater use of these diversionary "extrajudicial measures," and more use of a "restorative justice " approach to cases. A major limitation is that these provisions are permissive, and create no new legal rights for youths and impose no new obligations on governments. It will be up to provincial governments to decide whether to allow police, prosecutors and local program operators to actually implement these provisions. Further, depending on how these provisions are implemented, there are legitimate concerns about the potential for these informal responses to abuse the rights of youths or ignore the needs of victims. There should be both monitoring of the implementation of these provisions and research to determine how effective they are at reducing offending, and meeting the needs of victims, offenders and communities.

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)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.421
Threshold uncertainty score0.838

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.057
GPT teacher head0.327
Teacher spread0.270 · 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 designObservational
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

Citations14
Published2003
Admission routes2
Has abstractyes

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