Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.014 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.013 | 0.004 |
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 source (direct Gemma or distilled Codex), 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".