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Record W2100243614 · doi:10.15845/voices.v14i3.793

"Music... to Cure or Disable:" Therapy for Whom?

2014· article· en· W2100243614 on OpenAlexaff
Stefan Sunandan Honisch

Bibliographic record

VenueVoices A World Forum for Music Therapy · 2014
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMusic therapyAcknowledgementDisability studiesPerspective (graphical)PsychologyIntervention (counseling)PsychotherapistAestheticsSociologyArtVisual artsPsychiatryGender studiesComputer science

Abstract

fetched live from OpenAlex

This article responds to two intertwined questions: :“What is the role of a Disability Studies perspective within music therapy?” And: “What is the role of music therapy from a Disability Studies perspective?” Exploring some of the congruities and tensions that have emerged in recent years between music therapy, and the burgeoning field of Disability Studies in Music (Lubet, 2004 & 2010; Straus, 2006 & 2011; Straus & Lerner, 2006), I argue that both Disability Studies in Music, and music therapy, can benefit from greater acknowledgement of music's capacity to constrain and enable the human body,in complicated ways. The approach taken in this article imagines music therapy as a a reciprocal encounter in which diagnoses and intervention are replaced by a spirit of collaborative learning. The article pushes music therapy towards the idea of ability and disability as bodily performances (Sandahl & Auslander, 2005; Straus, 2011), rather than either exalted or pathological states of being, and suggests that in taking such a perspective as a point of departure, both music therapy and Disability Studies in Music will find new pathways between their respective theoretical and methodological environments.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.525
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.078
GPT teacher head0.369
Teacher spread0.291 · 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 designNot applicable
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

Citations4
Published2014
Admission routes1
Has abstractyes

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