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Record W3161249763

Mentally ill accused in South African criminal procedure: evaluating the mental health court model as therapeutic response

2016· dissertation· en· W3161249763 on OpenAlexaboutno aff
Letitia Pienaar

Bibliographic record

VenueUnisa Institutional Repository (University of South Africa) · 2016
Typedissertation
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsnot available
Fundersnot available
KeywordsMentally illMental healthCriminologyPsychologyCriminal procedureCriminal courtPsychiatryLawPolitical scienceMental illnessInternational law
DOInot available

Abstract

fetched live from OpenAlex

Mental illness that affects an accused’s fitness to stand trial is an ill-explored topic in the South African criminal justice system. The necessity to explore this topic is motivated by the increasing number of persons with mental illness moving into the criminal justice systems in South Africa, Canada, and the United States of America. 
\nAn accused’s fitness to stand trial is assessed once concern about his ability to follow the proceedings, or give proper instructions to his legal representative, is in doubt. The assessment is conducted in the forensic system where the vastly different fields of law and psychiatry meet. The South African forensic system is plagued with resources and skills shortages. These inadequacies cause delays in resolving pre-trial issues for an accused in respect of whom fitness is at issue. The accused is oftentimes detained in a correctional facility awaiting fitness assessment for anything between three months to two years. Generally, detention in a correctional facility has a negative effect on the mental state of a person with a mental illness.
\nThe logistics of fitness assessments differ between the three jurisdictions referred to above. However, the threshold for fitness in these jurisdictions is relatively low, with the result that the majority of accused persons sent for fitness assessments are found fit to stand trial. Such a finding does not imply that the accused is not mentally ill; it simply means that the illness does not affect his understanding of the court proceedings and that it does not influence his ability to communicate with his legal representative. An accused with a serious mental illness such as schizophrenia or major depression can, for example, be found fit to stand trial.
\nAfter a fitness assessment, a court may either find an accused fit to stand trial or unfit to stand trial. The fact that many persons found fit to stand trial have a mental illness suggests that there is a third category on the fitness continuum that must be acknowledged, namely, fit but mentally ill accused persons. No alternatives to traditional prosecution currently exist in South Africa for this third group of accused persons despite the fact that their situation in the criminal justice system calls for a therapeutic response.
\nThe South African legislative framework that regulates fitness assessments and the processes associated therewith are not without challenges. The assessment practices have recently been under scrutiny by the Constitutional court, which judgment changed the position for the accused found unfit to stand trial. The position of the fit but mentally ill accused remains unregulated.
\nThe Canadian and American criminal justice systems have implemented diversion programmes for fit but mentally ill accused persons in the form of Mental Health Courts. The underlying principle of a Mental Health Court is therapeutic jurisprudence. Therapeutic jurisprudence evaluates the impact of the law on those in conflict with it. It promotes the inclusion of expertise from other disciplines to improve the effectiveness of the law in a particular set of circumstances.
\nMany South African scholars acknowledge the need for mental health expertise in the criminal justice system, and suggestions have been made for the diversion of mentally ill accused persons charged with minor offences. Those above notwithstanding, no formal diversion programmes exist in South Africa for the fit but mentally ill accused. 
\nThis research investigates the Mental Health Court as a therapeutic response to the mentally ill accused in the South African criminal justice system. The Mental Health Court models as employed in Canada and the United States of America are studied to identify elements thereof that can be employed in the South African context to provide an effective alternative to traditional prosecution for the mentally ill accused.
\nThe Toronto Mental Health Court is studied in the Canadian context as a court that is not a diversion programme as such but has a diversion component attached to it. Diversion in Canada is reserved for those charged with less serious offences, and only these accused persons are allowed into the diversion component of the Mental Health Court. However, the Canadian Mental Health Court assists those who do not qualify for diversion but who need the specialised skills of the Mental Health Court for purposes of, for example, a bail application. The Brooklyn Mental Health Court in the United States of America is investigated as a model that constitutes a complete diversion programme and considers diversion of accused persons charged with more serious offences. 
\nThe unique structure and procedure of each of these Mental Health Courts are investigated with due consideration to the eligibility criteria of each and the sanctions employed for non-compliance of the court-monitored treatment programmes. Further, the successes and challenges of each model are highlighted.
\nFinally, a proposal is made for a Mental Health Court model mindful of the uniquely South African factors that have to be taken into account when building such a model. Amendments to the existing legislative framework are proposed to incorporate a Mental Health Court as a therapeutic response to mentally ill accused persons in the South African criminal justice system.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.051
GPT teacher head0.321
Teacher spread0.270 · 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 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

Citations0
Published2016
Admission routes1
Has abstractyes

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