Uncommon music making: The functional roles of music in design for healthcare
Bibliographic record
Abstract
In this paper, we discuss some uncommon settings and roles for music, demonstrating how music can aid in the design and implementation of socially responsible healthcare products that are encouraging, inclusive, and sensitive to critical contexts. We review three music-inspired design cases (CareTunes: Musical Alarms for Critical Care, Music and Senior Exercise, and We Are All Musicians and the Adaptive Use Musical Instrument) in which the authors took part. The literature review and the analysis of the case studies provide us with the following insights: music enhances sensory experiences, facilitates physical engagement with the world, music can guide medical professionals in critical contexts, and music creates social cohesion. All of these projects demonstrate the importance of involving participants (users or performers) in the process to address their life experiences. Thus, the use of music in design applications is experienced as a positive influence that can facilitate wellbeing for community members, persons with disabilities, medical patients, and healthcare professionals in the workplace.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".