Bibliographic record
Abstract
Hongrois d'origine, fils d'un violoniste eleveur de chevaux, Vic est l'enfant doue du jazz. Musicien, arrangeur, chef d'orchestre et compositeur, il a joue aux cotes de Miles Davis, d'Oscar Peterson, de Sammy Davis, de Michel Legrand. A accompagne Barbara, Eddie Constantine, Alys Robi, Veronique Sanson. La liste est longue. Figure celebre du Festival de Jazz de Montreal, Vogel est une institution. Rebelle, rigoureux, flamboyant, il est le premier a avoir redonne un souffle aux creations du grand compositeur Andre Mathieu. Vic a ete le « son » d'une kyrielle d'emissions a Radio-Canada, l'âme cherie de centaines de cabarets de Montreal, l'intouchable des nuits interlopes, seduisant par sa personnalite et son inimitable talent. Ce Lion, marginal et rompu aux principes d'une bonne education, a la classe des etres uniques et incorruptibles. Ce livre est un portrait hors du commun, dense, riche et rempli de curiosites ? un regard unique sur une star sans pretention. Etaye de photographies, Vic Vogel Histoires de jazz survole toute la vie du musicien pour, parfois, s'attarder sur quelques episodes marquants. Enfance, conquete du piano, decouverte de la rue et du monde, coups de c?ur et deceptions. Mais aussi les bars et les amities, la rencontre exaltante de Lennie Tristano, l'aventure des Jeux olympiques, la descente aux enfers ? la famille ? et la vision du jazz de Vogel.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.051 | 0.010 |
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".