Bibliographic record
Abstract
The Czech Nonet was faunded in 1924 by a group of students of the Prague Conservatory and it is one of the longest continuously performing chamber ensemble in the world. The ensemble´s instrumentation is based on Spohr´s Grand Nonetto Op.31: violin, viola, cello, contrabass, flute, oboe, clarinet, bassoon and horn. The Czech Nonet was quickly recognized as both an important interpreter of classic repertoire and an ardent champion of new music, inspiring the composition of more than 300 works by some of the greatest living composers, including Prokofiev, Lutoslawski, Martinů, etc. The Czech Nonet has made numerous concert tours round Europe ( Germany, Austria, United Kingdom, the Netherlands, Spain, Italy and France), North and South Americas, Japan, Africa and has performed at many world-famous music platforms, such as : Musikverein Vienna, Montreaux Auditorium Starvinskij, the Munich Herkulessaal, the Auditorio de Zaragoza, the Lyon Auditorium, the Washington Library of Congress, the Vancouver Playhouse,the Dvořák hall at the Prague Rudolphinum etc. The Czech Nonet´s rich discography has been recorded by the Supraphon, Panton and Harmonia Mundi recording companies on forty-five LP´s and CD´s.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.280 | 0.174 |
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".