Out of the blue life on the road with Muddy Waters
Bibliographic record
Abstract
"Out of the Blue: Life on the Road with Muddy Waters begins with a moment lifted from a young musician's dreams. Brian Bisesi, a guitarist barely out of his teens, is invited on stage to fill in for a missing member of the band backing blues legend Muddy Waters. This life-changing quirk of fate opens the door into a world of challenges and opportunities that Bisesi, an Italian American reared in the comforts of a New York City suburb, can barely imagine. Despite their differences, Bisesi and Waters hit it off, and what might have been a one-night stand turns into a career. From 1978-1980, Bisesi works for Waters as his road manager, bean-counter, and at times his confidant, while often sitting in with the band. Bisesi's years with the band take him to Europe, Japan, Canada, and across the United States as Waters tours-and parties-with rock gods like Eric Clapton, the Rolling Stones, a Beatle, and the gamut of musicians who came of age with Waters and introduced a younger generation to the blues. In Out of the Blue, Bisesi captures it all: from the pranks and tensions among bluesmen enduring a hard life on the road, to observations about Waters's technique, his love of champagne and reefer, his eye for women, and his sometimes-acrid views of contemporary music. Bisesi has sharp insights into the ill-conceived management decisions that led to the dissolution of Waters's longest-serving band in June of 1980. This book will rivet, amuse, and occasionally infuriate blues aficionados. It is a raucous and intimate portrait of the blues scene at a pivotal moment in time that fascinates music historians and blues fans alike"--
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.017 | 0.005 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.035 | 0.012 |
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".