MétaCan
Menu
Back to cohort
Record W2010727668 · doi:10.1177/1466802504048654

The rhetoric of youth justice in Canada

2004· article· en· W2010727668 on OpenAlexaffabout
Timothy F. Hartnagel

Bibliographic record

VenueCriminal Justice · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsRhetoricIdeologyCriminologyCriminal justiceEconomic JusticePolitical sciencePoliticsTheory of criminal justiceSociologyLaw

Abstract

fetched live from OpenAlex

This article reviews some of the recent political rhetoric and public opinion on the controversial subject of youth crime and how to deal with it, particularly the Young Offenders Act of 1984 and the new Youth Criminal Justice Act of 2002, from a social constructionist perspective. Recent controversy over youth crime and justice is nothing new, reflecting differing views about the causes of crime and the appropriate ways of responding to it as specific manifestations of more fundamental and conflicting ideological assumptions regarding views of human nature, the degree of individual responsibility for behavior, and the fundamental values of society. The debates surrounding the new Youth Criminal Justice Act continue to reflect these ideological conflicts. Generally, there is a substantial gap between much of the rhetoric and the reality of youth crime and justice. Youth crime and justice in Canada is certainly an important issue that requires serious attention, but it is hardly the crisis that some would have us believe. Much depends upon how the new Youth Criminal Justice Act is actually implemented. A failure to alter the usual political rhetoric surrounding youth crime and justice obscures the reality in this area and will contribute to an on-going cycle of controversy that does little to advance efforts of effective crime prevention.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.466
Threshold uncertainty score0.608

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.035
GPT teacher head0.298
Teacher spread0.263 · 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.

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

Citations12
Published2004
Admission routes2
Has abstractyes

Explore more

Same venueCriminal JusticeSame topicCriminal Justice and Corrections AnalysisFrench-language works237,207