Bibliographic record
Abstract
The intersection between ‘great player’ and ‘great teacher’ is rather slim. Gerry Hemingway manages comfortably to straddle both areas—his decades of playing and composing in high quality, highly productive, and challenging groups have given him tremendous skills and chops, but his interest and desire to share and educate is like the opening of a vault. Gerry has been on over one hundred CDs—released by his own quintet or quartet as well as duets and other groups such as BassDrumBone. He first came to critical attention playing in Anthony Braxton’s Quartet from 1983 to 1994 and has had a long and fruitful relationship with numerous American and European performers such as Marilyn Crispell, Ray Anderson, Mark Dresser, Anthony Davis, Ernst Reijseger, and Wolter Wierbos. He has received numerous commissions, including a concerto for percussionist and orchestra and is collaborating with video artist Beth Warshafsky. He was awarded a Guggenheim Fellowship in 2000 for his work in composition. He has led workshops for many years and from 2005 to 2009 he was at the New School in New York City teaching music history courses and leading an ensemble. Since 2009 he has been on faculty with the Hochschule Luzern in Switzerland. His latest release is by his Quintet titled Riptide on the Clean Feed label. Included here is an interview with Gerry Hemingway conducted in September of 2011.
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 | 0.005 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.021 | 0.008 |
| Scholarly communication | 0.007 | 0.011 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.009 | 0.019 |
| Insufficient payload (model declined to judge) | 0.028 | 0.006 |
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".