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Record W2346992978 · doi:10.1037/law0000082

A conceptual framework for thinking about physician-assisted death for persons with a mental disorder.

2016· article· en· W2346992978 on OpenAlexafffund
Catherine S. Shaffer, Alana N. Cook, Deborah A. Connolly

Bibliographic record

VenuePsychology Public Policy and Law · 2016
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsSimon Fraser University
FundersSimon Fraser University
KeywordsPsychologyConceptual frameworkPsychiatryPsychotherapistSociologySocial science

Abstract

fetched live from OpenAlex

Physician-assisted death (PAD) has been enacted in a number of international jurisdictions, with several extending access to PAD for persons whose condition is not terminal, including those with a mental disorder.  We argue that based on the state of the literature, it is too early to make well-defined recommendations on how relevant fields can proceed legally, ethically, and clinically, particularly in regard to PAD for persons with a mental disorder.  The aim of this paper is to introduce a framework for further discussions on PAD for persons with a mental disorder to stimulate thoughtful and considered debate in our field.  We provide a brief discussion of the principles that guide regulatory frameworks on PAD practices worldwide, including a discussion of jurisdictions in Europe and North America that allow PAD for those suffering from an incurable non-terminal disease, illness, or disability.  Next, we present a conceptual framework as a series of questions that address legal, ethical, and clinical dilemmas arising from this trend.  We conclude with a summary of guidelines on the practice of PAD from international jurisdictions in order to assist in the development of potential legal and professional regulations.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.796
Threshold uncertainty score0.688

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.075
GPT teacher head0.429
Teacher spread0.354 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations21
Published2016
Admission routes2
Has abstractyes

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