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Record W2097869365

Diversion of Offenders with Mental Disorders: Mental Health Courts

2012· article· en· W2097869365 on OpenAlexaboutno aff
Sarah Ryan, Darius Whelan

Bibliographic record

VenueCork Open Research Archive (University College Cork) · 2012
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsnot available
Fundersnot available
KeywordsTherapeutic jurisprudenceMental healthInsanityMental health lawCriminal justicePolitical scienceCriminologyBest interestsJurisprudenceLawEconomic JusticePsychologyPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

At present, if people with mental disorders appear before the criminal courts in Ireland, unless they are unfit for trial or not guilty by reason of insanity, the system governing their case will be the general one which applies to all criminal cases. In recent decades, a number of other common law jurisdictions have begun to set up mental health courts as a means of diverting some people with mental disorders from the criminal justice system and into more appropriate treatment. This article begins with a review of the background to mental health courts, focusing on the concept of diversion from the criminal justice system and the role of Therapeutic Jurisprudence theory as an inspiration for the establishment of mental health courts. The main features of mental health courts are identified and the features of those in existence in the United States are contrasted with those in Canada and England and Wales. Some of the main arguments against the use of these courts will be discussed, including the contentions that defendants participation may not be truly voluntary and that their due process rights are not adequately protected. The question of whether a mental health court should be established in Ireland is considered.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.261
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.114
GPT teacher head0.410
Teacher spread0.296 · 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.

Study designNot applicable
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

Citations5
Published2012
Admission routes1
Has abstractyes

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