Bibliographic record
Abstract
This project considers a case study from the archive of modern recorded jazz—Miles Davis’s Jack Johnson (1971)—as a means to address the collaborative aesthetic, technical, and social dimensions of record production. The release of The Complete Jack Johnson Sessions (2003) contains a number of alternate takes and “inserts” that were cut up and spliced together to create extended tracks on several albums by Davis released from 1971 to 1974. Drawing on recent work in popular music studies, ethnomusicology, and studies in the art of record production, I ask how this studio collaboration affects our notions of authorship and creativity in jazz. In other words, what is the relationship between the countless decisions in the studio and the sound that results? I will study studio practices and interactions in an integrated fashion, bringing together technological, practical, social, and creative/artistic components through a detailed consideration of the construction of a specific track from the album, “Yesternow.” The study of this little-discussed album by a canonical artist allows us to show how a specific approach to recording, as well as changes in recording technology, can be correlated with sonic and formal differences, and social relations.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".