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The History, Justification, and Purpose of Mental Health Law

2021· book-chapter· en· W3186873578 on OpenAlexaboutno aff
Kay Wilson

Bibliographic record

VenueOxford University Press eBooks · 2021
Typebook-chapter
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsnot available
Fundersnot available
KeywordsMental healthMental health lawLawState (computer science)Criminal lawPolitical scienceHealth careSociologyPsychologyPsychiatry

Abstract

fetched live from OpenAlex

Chapter 2 examines the historical development of mental health law in England (which is similar to the rest of the common law world, including America, Canada, and Australia) and uses that history to consider the justification, purpose, and need for mental health law from Ancient Greece to the present. Contrary to the claims of abolitionists that mental health law has essentially always stayed the same, it demonstrates a history of continuous legal and systemic reform in mental health law. Rather than an over-zealous and interfering state keen to exercise social control over persons with mental impairment, it instead depicts a state which for the most part reluctantly only became involved in the care of persons with mental health problems when informal care by family and friends failed or was non-existent, to prevent abuses by private operators, and as an incident of its administration of the criminal law. When set against the background of the fashions, cycles, and recurring themes of mental health law, the call of abolition can be conceptualized as simply the latest fad in its evolution. Further, many of the issues which arise from mental health problems will continue to exist even without mental health law. Mental health law can be positive and negative, including defining and protecting rights and allocating resources. The chapter cautions against being too optimistic about the promises of sweeping revolutionary changes which have never really delivered (deinstitutionalization or the ‘abolition’ of the asylum being the most poignant example), in favour of solid incremental change.

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)0.007
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.026
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.010
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0090.072
Scholarly communication0.0130.008
Open science0.0010.006
Research integrity0.0090.010
Insufficient payload (model declined to judge)0.0050.001

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 head0.287
Teacher spread0.233 · 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 designNot applicable
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

Citations0
Published2021
Admission routes1
Has abstractyes

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