Bibliographic record
Abstract
Improvising Across Abilities: Pauline Oliveros and the Adaptive Use Musical Instrument (AUMI) brings together scholars, musicians, and family members of people with disabilities to collectively recount years of personal experiences, research, and perspectives on the societal and community impact of inclusive musical improvisation. One of the lesser-known projects of composer, improviser, and humanitarian, Pauline Oliveros (1932–2016), the AUMI was designed as a liberating and affordable alternative to the constraints of instruments created only for normative bodies, thus opening a doorway for people of all ages, genders, abilities, races, and socioeconomic backgrounds to access artistic practice with others. More than a book about AUMI, this book is an invitation to readers to use AUMI in their own communities. This book, which contains wisdom from many who have been affected by their work with the instrument and the people who use it, is a representation of how music and extemporized performance have touched the lives and minds of scholars and families alike. Not only has AUMI provided the opportunity to grow in listening to others who may speak differently (or not at all), but it has been used as an avenue for a diverse set of people to build friendships with others whom they may have never otherwise even glanced at in the street. By providing a space for every person who comes across AUMI to perform, listen, improvise, and collaborate, the continuing development of this instrument contributes to a world in which every person is heard, welcomed, and celebrated.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".