Bibliographic record
Abstract
L'aspect melodique de la musique de syamisen est la premiere etude ethnomusicologique detaillee de la musique de 'syamisen' ('shamisen'). Instrument a cordes pincees tres populaire, largement repandu au Japon, le syamisen est utilise dans divers contextes socio-musicaux. Apres un apercu historique et une description des differents varietes de syamisen, l'auteur examine les aspects melodiques des genres representatifs de cette musique. S'appuyant sur sa propre analyse des pratiques contemporaines, il propose une nouvelle theorie du systeme tonal de la musique de syamisen et apporte un nouvel eclairage sur la fonction des citations musicales dans ce repertoire. Ne en 1936 a Tokyo, Yosihiko Tokumaru est professeur de musicologie a l'Universite Ochanomizu a Tokyo. Il a etudie la musicologie et l'esthetique a l'Universite de Tokyo tout en se consacrant a la pratique musicale. Alors qu'il etait professeur invite a l'Universite de Montreal, il a obtenu un Ph.D 'in musica' de l'Universite de Laval a Quebec. Parallelement a l'etude de syamisen, il a poursuivi des recherches theoriques qui ont debouche sur la publication, en japonais, de 'Ethnomusicologie' (Tokyo 1991). Il a entrepris de mettre en place des reseaux de communication entre musiciens et musicologues de differents pays d'Asie dont les heritages musicaux rendent possible une comprehension mutuelle. Recemment, il a cree a l'Universite d'Etat a Hue, au Vietnam, un enseignement de la musique de cour vietnamienne, Deux de ses ouvrages, en anglais, 'The Oral and the Literature in Music (Tokyo 1986) et 'Tradition and its Future in Music (Tokyo/Osaka, 1991), ont ete largement diffuses.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".