Bibliographic record
Abstract
Abstract: The concept of lineage is one that is frequently invoked in discussions sur-rounding jazz, and is used by both players in casual contexts and by academics and critics in more formal settings. However, very little attention has been paid to defining what lin-eage may mean in a jazz context, and to how it might actually function. Beyond a simple chronology of great players and jazz styles, an investigation of lineal traditions in jazz has ramifications for discussions of pedagogy. Using the lineal tradition of pianist Len-nie Tristano and saxophonist Lee Konitz as a case study, this paper considers these issues as well as how lineal traditions may fit with the current institutional model for jazz education. …You study with someone, but while you study you’re listening to records and hearing music, there are outside forces, so you’re never just the product of one thing...Which led me to start think-ing about the idea of lineage...who you study with formatively, and what is it that gets passed. What is this thing that constitutes lineage? Is it style? No. Eighth notes? No. Is it the way you com-pose? Well sometimes, but not necessarily. And I began to think
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".