MétaCan
Menu
Back to cohort
Record W4389458737 · doi:10.7202/1108007ar

Causes for Conscientious Objection in Medical Aid in Dying: A Scoping Review

2023· review· en· W4389458737 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Journal of Bioethics · 2023
Typereview
Languageen
FieldMedicine
TopicReproductive Health and Contraception
Canadian institutionsnot available
FundersBanco Bilbao Vizcaya ArgentariaMinisterio de Ciencia e InnovaciónFundación BBVA
KeywordsConscientious objectorConscienceMainstreamCognitive dissonanceHealth careLegislationPhilosophy of medicineEmpirical researchEpistemologyPsychologyEngineering ethicsMedicineLawLaw and economicsSociologySocial psychologyPolitical scienceAlternative medicinePhilosophy

Abstract

fetched live from OpenAlex

In the light of current legislation on Medical Aid in Dying (MAiD; also known as euthanasia and assisted suicide) in different countries worldwide, there have been some arguments devoted to the right to conscientious objection for healthcare professionals in these specific practices. The goals of this scoping review are to provide an overview of the motivations and causes that lie behind conscientious objection identified by previous literature according to professionals’ experiences and to verify if these motives match with theoretical debates on conscientious objection. As the results show, there is a dissonance between the motivations included in the traditional and mainstream definition of conscientious objection used in theoretical and speculative frameworks and the actual factors that empirical studies note as reported motivations to object to MAiD. Hence, either we consider new factors to include as causes of “conscience”, or we accept that there are motivations that are not actually applicable to conscientious objection and should be addressed by other means. As conscientious objection to MAiD is multifaceted, there can be different kinds of motivations acting at the same time. It is thus pertinent to rebalance theoretical and empirical considerations to fully understand the complexity of the phenomenon and so provide insights on how to best deal with conscientious objection.

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.

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)0.006
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.597
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.281
GPT teacher head0.499
Teacher spread0.219 · 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