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Record W3023016240 · doi:10.1093/mtp/miaa009

Medical Assistance in Dying in Canada: Implications and Considerations for Music Therapists Around the Globe

2020· article· en· W3023016240 on OpenAlexaffabout
Amy Clements-Cortés, Joyce Yip

Bibliographic record

VenueMusic Therapy Perspectives · 2020
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsWilfrid Laurier UniversityUniversity of Toronto
Fundersnot available
KeywordsMusic therapyLegislationAutonomyLegalizationGlobeScope (computer science)Health carePsychologyMedicinePolitical scienceNursingPsychotherapistLawPsychiatry

Abstract

fetched live from OpenAlex

Abstract Physician-assisted suicide and voluntary euthanasia are two procedures of Medical Assistance in Dying (MAiD) that are readily requested by patients internationally. In April 2016, the legalization of these procedures occurred in Canada after the pursuit of many jurisdictional cases. Known as Bill C-14, this legislation aims to balance patient autonomy at end-of-life with revised standardizations for medical and healthcare professionals. Music therapists may be included in the medical and healthcare team that can be recommended by patients considering MAiD. At present, there are no written guidelines that empirically outline the role of music therapists in this area. This paper explores the global history of MAiD as well as MAiD in the Canadian healthcare system and its implications. Information on the legislation Bill C-14 will be explained, along with a discussion on the current practices of music therapy at end-of-life and the potential scope of a music therapist during the MAiD procedure. Ethical issues and future research are also presented as recommendations to healthcare and music therapy professionals.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.818
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.106
GPT teacher head0.344
Teacher spread0.238 · 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 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

Citations2
Published2020
Admission routes2
Has abstractyes

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