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Record W3122974609 · doi:10.1086/jce201425110

Legal Briefing: Voluntarily Stopping Eating and Drinking

2014· article· en· W3122974609 on OpenAlexaboutno aff
Thaddeus Mason Pope, Amanda West

Bibliographic record

VenueThe Journal of Clinical Ethics · 2014
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsLegislaturePrinciple of legalityBioethicsPolitical scienceLawPsychology

Abstract

fetched live from OpenAlex

This issue’s “Legal Briefing” column covers recent legal developments involving voluntarily stopping eating and drinking (VSED). Over the past decade, clinicians and bioethicists have increasingly recognized VSED as a medically and ethically appropriate means to hasten death. Most recently, in September 2013, the National Hospice and Palliative Care Organization (NHPCO) called on its 2,000 member hospices to develop policies and guidelines addressing VSED. And VSED is getting more attention not only in healthcare communities, but also in the general public. For example, VSED was recently highlighted on the front page of the New York Times and in other national and local media. Nevertheless, despite the growing interest in VSED, there remains little onpoint legal authority and only sparse bioethics literature analyzing its legality. This article aims to fill this gap. Specifically, we focus on new legislative, regulatory, and judicial acts that clarify the permissibility of VSED. We categorize these legal developments into the following seven categories: 1. Definition of VSED2. Uncertainty Whether Oral Nutrition and Hydration Are Medical Treatment3. Uncertainty Regarding Providers’ Obligations to Patients Who Choose VSED4. Judicial Guidance from Australia5. Judicial Guidance from the United Kingdom6. Judicial Guidance from Canada7. Case of Margot Bentley

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)0.032
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.195
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0320.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.006
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 head0.259
GPT teacher head0.552
Teacher spread0.293 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations31
Published2014
Admission routes1
Has abstractyes

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