Bibliographic record
Abstract
This revised, enhanced edition of the life and works of composer and Admiral Jean Cras traces, through new research, the remarkable career of this celebrated composer, decorated war hero, scientist and inventor. As Henri Duparc’s only protégé, his “spiritual son” enjoyed the same level of esteem during the 1920s as his friends Ravel and Roussel. This edition sustains the renaissance of Jean Cras and includes a new chapter devoted to the composer’s early songs, to be released concurrently. « Le Canadien Paul-André Bempéchat, est parfaitement francophone mais c’est en anglais qu’il rédige cette somme dédiée à Jean Cras … Tout y est, … sa carrière marine, … l’inventeur brilliant, l’esthète pétri d’humanisme, le musicien dans son oeuvre. … Le portrait est vivant, Jean Cras se tient devant vous et tous les secrets de son art subtil sont démontrés. » – Diapason “There is no doubt that, in subsequent studies of Jean Cras’s life and works, this book will be the first source to which the researcher turns. Bempéchat’s deft and skilful blending of a beautifully written and engaging biography with lucid and erudite musical analysis, interspersed with tales of military history and scientific discovery, has resulted in a book that is absolutely engaging on its own, as it tells the life story of a most extraordinary man.” – Nineteenth-Century Music Review
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.059 | 0.022 |
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".