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Record W2593213152 · doi:10.15845/voices.v17i1.893

Community Building Through Inclusive Music-Making

2017· article· en· W2593213152 on OpenAlexaff
Jane Gosine, Deborah Hawksley, Susan Quinn

Bibliographic record

VenueVoices A World Forum for Music Therapy · 2017
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMusic therapyPsychologyAccreditationMusic educationMusicalMedical educationPedagogyVisual artsPsychotherapistMedicineArt

Abstract

fetched live from OpenAlex

The objective of this project was to expand the boundaries of regular music therapy sessions at a non-profit organization to include performances and workshops with community musicians. The goals and practices used for persons with physical disabilities prepared participants to benefit from inclusive music-making with local community musicians who had no previous music therapy experience, but whose performing styles were closely aligned with the musical preferences of our participants. The four collaborative workshops, which were held over six months, involved music therapy participants, accredited music therapists, local musicians, and volunteers engaging in music making together where teaching and learning was shared amongst all involved. The workshops were also an important mechanism for raising greater awareness of the needs and abilities of the music therapy participants.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0110.007
Scholarly communication0.0060.007
Open science0.0030.034
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0140.002

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 head0.130
GPT teacher head0.431
Teacher spread0.301 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2017
Admission routes1
Has abstractyes

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