Bibliographic record
Abstract
This article focuses on the legendary Buddy Bolden, a putative godfather of jazz improvisation in the very earliest days of jazz-like music–making in New Orleans. We first seek to position him both within the New Orleans of his time and within the broader tradition of jazz’ development to which he is deemed to have made such a singular contribution. But we soon discover that, despite his legendary status, we have in fact no aural record of Bolden’s actual playing and only fragmentary, often contradictory, accounts of his life. It becomes necessary to “improvise the improvisor” – to, in effect, give voice to Bolden’s silence. We then examine several efforts to imagine Bolden both as player and as person: by Michael Ondaatje, on the printed page, in his highly regarded “novel” Coming Through Slaughter and on disk, aurally, by players like Jerry Granelli and Malachi Thompson. We conclude that Bolden’s rather shadowy person and performance make him especially available, in both song and story, for the kinds of improvisation of person we have pinpointed. Indeed, this may again prove true as those in post-Katrina New Orleans who may wish to rebuild the city in the terms of its own history find they must once more “talk back” to power, to those who now choose merely to further (in Mike Davis’ chilling phrase) the “killing of New Orleans.”
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.013 | 0.013 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".