Diversion of Offenders with Mental Disorders: Mental Health Courts
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.019 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".