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.
Bibliographic record
Abstract
Music at the Edge invites the reader to experience a complete music therapy journey through the words and music of the client, and the therapist’s reflections. Francis, a musician living with AIDS, challenged Colin Andrew Lee, the music therapist, to help clarify his feelings about living and dying. The relationship that developed between them enabled Francis the opportunity to reconsider the meaning of his life and subsequent physical decline, within a musical context. First published in 1996, Music at the Edge is a unique and compelling music therapy case study. In this new edition of the highly successful book, Colin retains the force of the original text through the lens of contemporary music therapy theory. This edition also includes more detailed narrative responses from the author and his role as a therapist and gay man. Central to the book are the audio examples from the sessions themselves. The improvisations Francis played and his insightful verbal explorations provide an extraordinary glimpse into the therapeutic process when working in palliative and end-of-life care. This illuminating book offers therapists, musicians, related professionals and those working with, or facing, illness and death a unique glimpse into the transcendent powers of music. It is also relevant to anyone interested in the creative account of a pianist’s discovery of life and death through music.
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 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 | 0.000 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.356 | 0.027 |
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 it