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Record W2905246821 · doi:10.1097/aco.0000000000000686

Withholding or withdrawing life support versus physician-assisted death

2018· review· en· W2905246821 on OpenAlexaff
William McClelland, Ewan C. Goligher

Bibliographic record

VenueCurrent Opinion in Anaesthesiology · 2018
Typereview
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsToronto General HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsFutures studiesMedicineSocial psychologyEpistemologyPsychologyPhilosophy

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Withholding or withdrawing life-sustaining therapy is generally differentiated from physician-assisted suicide or euthanasia based on the distinction between intention and foresight. We reviewed the literature surrounding the validity of this distinction. RECENT FINDINGS: Many physicians from different specialties express a perceived distinction between intention and foresight. The distinction between intention and foresight differs from the morally irrelevant distinction between doing and allowing. Intention and foresight may be distinguished by their opposing directions of fit between world and mind. Intention is held to be of greater moral significance than foresight because it guides and constrains our actions, determines the moral quality of our actions, and expresses the moral character of the agent. Opponents of the distinction argue that it undermines moral accountability for foreseen consequences of our actions and is overly concerned with the physician's state of mind rather than the patient's experience. They also argue that intentions may be vague and difficult to express or ascertain. SUMMARY: Several reasons may be given in favor of the distinction between intention and foresight. Given this distinction, the moral permissibility of withholding or withdrawing life-sustaining therapy does not necessarily entail the moral permissibility of physician-assisted suicide or euthanasia.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.969
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.543
GPT teacher head0.542
Teacher spread0.002 · 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 designOther design
Domainnot available
GenreReview

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

Citations7
Published2018
Admission routes1
Has abstractyes

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