Bibliographic record
Abstract
Moving toward a truly coevolutionary view of music and the mind entails going beyond the standard model of a unidirectional arrow from brain to mind in music perception and production.While technologies that would realize music directly from the brain in transparent, unidirectional ways have appeared in science fiction, the practice of developing and working with such tools supports a co-constitutive view.Brain-computer music interfaces are informed by a rich tradition in experimental music (e.g., see Alvin Lucier's 1965 Piece for Solo Performer; Leslie's chapter 13 in this volume).Recent developments continue to open up novel possibilities for musical creativity, testing theories in the music sciences such as embodiment and extended mind theory (cf.Witek's chapter 7 in this volume) while offering practical applications for music production in those whose physical limitations may hinder more conventional forms of music making.As a model for new directions in the science-music borderlands, we asked Eduardo Miranda, an expert in brain-computer music interfacing, to describe some of his work in this area.]
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 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".