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Record W2130154662 · doi:10.1177/0969733009102691

Rituals, Death and the Moral Practice of Medical Futility

2009· review· en· W2130154662 on OpenAlexaff
Shan Mohammed, Elizabeth Peter

Bibliographic record

VenueNursing Ethics · 2009
Typereview
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversity of TorontoPrincess Margaret Cancer Centre
Fundersnot available
KeywordsPsychological interventionMoralityCardiopulmonary resuscitationMedicineValue (mathematics)Value of lifeMedical ethicsPerspective (graphical)DiseaseHealth carePsychologyNursingResuscitationPsychiatryLawPolitical science

Abstract

fetched live from OpenAlex

Medical futility is often defined as providing inappropriate treatments that will not improve disease prognosis, alleviate physiological symptoms, or prolong survival. This understanding of medical futility is problematic because it rests on the final outcomes of procedures that are narrow and medically defined. In this article, Walker's ;expressivecollaborative' model of morality is used to examine how certain critical care interventions that are considered futile actually have broader social functions surrounding death and dying. By examining cardiopulmonary resuscitation and life-sustaining intensive care measures as moral practices, we show how so-called futile interventions offer ritualistic benefit to patients, families, and health care providers, helping to facilitate the process of dying. This work offers a new perspective on the ethical debate concerning medical futility and provides a means to explore how the social value of treatments may be as important in determining futility as medical scientific criteria.

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)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.010
Scholarly communication0.0030.005
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.606
GPT teacher head0.614
Teacher spread0.008 · 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 designQualitative
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

Citations55
Published2009
Admission routes1
Has abstractyes

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