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Competence and Criminal Responsibility in Adolescent Defendants

2012· book-chapter· en· W2167085877 on OpenAlexaff
Jodi L. Viljoen, Erika K. Penner, Ronald Roesch

Bibliographic record

VenueOxford University Press eBooks · 2012
Typebook-chapter
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsCriminal responsibilityCompetence (human resources)PsychologyInsanityInsanity defenseDiminished responsibilityMental healthLegal responsibilityCriminologyLawMentally illMental illnessPolitical scienceCriminal lawPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

Abstract The law has required that adult defendants cannot be tried unless they have an ability to understand and participate adequately in legal proceedings against them. Another legal protection for mentally ill defendants is insanity defense or criminal responsibility laws. Historically these legal protections were not applied to adolescents tried in juvenile court. The purpose of this article is to examine the application of competence and criminal responsibility laws to adolescents, with a focus on some of the challenges that have arisen. It discusses relevant legal standards and the role of mental illness and developmental immaturity and highlights the implications for courts, attorneys, and mental health clinicians. At the present time, many issues pertaining to potentially incompetent and not guilty by reason of insanity adolescents remain undecided. There is a need for further research on the characteristics and needs of these adolescents and appropriate assessment and treatment approaches.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.002
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 head0.054
GPT teacher head0.259
Teacher spread0.205 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations1
Published2012
Admission routes1
Has abstractyes

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