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Record W2075805955 · doi:10.12968/bjon.2009.18.9.42259

The Mental Capacity Act – a balance between protection and liberty

2009· article· en· W2075805955 on OpenAlexaff
Thomas P. Walters

Bibliographic record

VenueBritish Journal of Nursing · 2009
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsStatuteAutonomyBalance (ability)Scope (computer science)Mental capacityLawProxy (statistics)Power of attorneyLiving WillsPolitical scienceMedicineLaw and economicsSociologyHealth carePsychiatry

Abstract

fetched live from OpenAlex

The stated aim of the Mental Capacity Act is to provide greater protection to those who may lose their mental capacities, particularly in terms of informed consent, patient affairs, advanced decisions and research. This article attempts to explore this new statute by way of examining the scope to which the Act departs from the previous Common Law. Three key themes are identified within this new Act, which differentiate it from Common Law: patients' best interests, which is paramount to any care or treatment; proxy consent, whereby donees can now be appointed to take charge of medical decisions; and advanced directives, where so-called living wills can be enforced provided that they are specific, written, signed and witnessed. However, upon examining the statute it appears that rather than increasing patient autonomy and self-determination, evidence suggests that power is still being held by the medical profession. Whether patients have full autonomy or not, the main issue could be how to strike an effective and workable balance between protection and liberty.

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)0.017
metaresearch head score (Gemma)0.038
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: Commentary · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.038
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.031
Scholarly communication0.0090.007
Open science0.0020.009
Research integrity0.0130.011
Insufficient payload (model declined to judge)0.0050.002

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 head0.064
GPT teacher head0.374
Teacher spread0.310 · 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
GenreCommentary

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
Published2009
Admission routes1
Has abstractyes

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