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Record W2891585186 · doi:10.15694/mep.2018.0000197.1

Music and Medicine: being in the moment

2018· article· en· W2891585186 on OpenAlex
Tim Dornan, Martina Kelly

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMedEdPublish · 2018
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsExistentialismPsychologySocial psychologyAestheticsPolitical scienceArtLaw

Abstract

fetched live from OpenAlex

This article was migrated. The article was marked as recommended. This article reviews the relationship between music and medicine, informed by our own personal experiences, and by leading scholars who have opened up music and medicine for critical reflection. Performing music, we suggest, is a state of being, in the moment, with fellow musicians and audience members. This establishes bidirectional communication, which can transport both parties to better places. Medicine is, likewise, an act of being with patients, whether or not performing a technical act (a clinical procedure, for example) is part of the interaction. Subjective, non-verbal, dimensions of the interaction engage both parties' senses. Good doctors, like good musicians, tune in to patients at a personal level. The limited research that has examined the relationship between music and medicine shows that music can help students develop auditory skills. Of potentially greater interest is the existential contribution music could make to medical education. We suggest that this could help students and doctors reflect on their experiences of being in the world, and how shared experience can relieve suffering.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.314
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0060.000

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 head0.063
GPT teacher head0.375
Teacher spread0.312 · 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