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Record W2995173774

Conscientious Objection to Medical Assistance in Dying: A Qualitative Study with Quebec Physicians

2019· article· en· W2995173774 on OpenAlexaboutno aff
Jocelyn Maclure

Bibliographic record

VenuePhilPapers (PhilPapers Foundation) · 2019
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsnot available
Fundersnot available
KeywordsQualitative researchMedicineNursingMedical educationSociologySocial science
DOInot available

Abstract

fetched live from OpenAlex

Patients in Quebec can legally obtain medical assistance in dying (MAID) if they are able to give informed consent, have a serious and incurable illness, are at the end of their lives and are in a situation of unbearable suffering. Since the Supreme Court of Canada’s 2015 Carter decision, access to MAID, under certain conditions, has become a constitutional right. Quebec physicians are now likely to receive requests for MAID from their patients. The Quebec and Canadian laws recognize a physician’s right to conscientious objection, but this right is contested both in the medical ethics literature and in the public sphere. This paper presents the results of a qualitative study conducted with twenty Quebec physicians who did not integrate MAID into their medical practice, either because they were opposed to or deeply ambivalent about MAID. The interviews aimed to explore the reasons – religious and secular – for opposition to or ambivalence towards MAID. The secular reasons given by participants were grouped into four main categories: 1) the ends of medicine and professional identity, 2) the philosophy of palliative medicine and resource allocation in palliative care, 3) benevolent paternalism, the “good death”, and the interests of future selves, 4) the risk of a slippery slope and the protection of vulnerable people.

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)0.009
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0060.004

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 head0.043
GPT teacher head0.468
Teacher spread0.425 · 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 designQualitative
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

Citations5
Published2019
Admission routes1
Has abstractyes

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