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The Transfer of Juveniles to Adult Court in Canada and the United States: Confused Agendas and Compromised Assessment Procedures

2005· article· en· W2068531242 on OpenAlexaffabout
Stephanie R. Penney, Marlene M. Moretti

Bibliographic record

VenueInternational Journal of Forensic Mental Health · 2005
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsJuvenileArgument (complex analysis)Juvenile delinquencyCriminologyJuvenile courtCriminal justiceEconomic JusticePsychosocialRetributive justicePsychologyMaturity (psychological)LawPolitical sciencePsychiatryMedicineEcology

Abstract

fetched live from OpenAlex

This article traces the evolution of the youth justice system in Canada and the United States and examines the practice of transferring juveniles to criminal court. Experts disagree about whether the goals of rehabilitation and retribution can be satisfactorily reconciled within the bounds of the juvenile system, and whether juvenile transfer significantly deters youth crime. Equally controversial is the appropriateness of exposing youth – who are in the midst of development – to the criminal system and to the possibility of receiving a lengthy adult sanction. We argue that it is neither efficacious nor ethical to transfer youth to adult court and deny them the protections afforded by the juvenile system. Concepts from developmental psychology, risk assessment, and juvenile psychopathy are integrated into this argument. Recommendations for policy and future research are noted, including a need to develop systematic guidelines that bridge legal and psychosocial constructs in the assessment of risk, amenability to treatment, and maturity of character in youth.

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)0.016
metaresearch head score (Gemma)0.041
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.461

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.041
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0170.010
Scholarly communication0.0060.002
Open science0.0030.007
Research integrity0.0020.006
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 head0.015
GPT teacher head0.333
Teacher spread0.318 · 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

Citations35
Published2005
Admission routes2
Has abstractyes

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