Beyond <I>The Art of Finger Dexterity</I>
Bibliographic record
Abstract
The first English-language book on Czerny, and the broadest survey of his activity in any language. Within the history of European music, Carl Czerny (1791-1857) is simultaneously all too familiar and virtually invisible. During his lifetime, he was a highly successful composer of popular piano music, and his pedagogical works remain fundamental to the training of pianists. But Czerny's reputation in these areas has obscured the remarkable breadth of his activity, and especially his work as a composer of serious music, which recent performances and recordings have shown to hold real musical interest. Beyond "The Art of Finger Dexterity" explores Czerny's multifaceted career and its legacy and provides the first broad assessment of his work as a composer. Prominent North American and European musicians and scholars explore topics including Czerny's life and its context; his autobiographical writings and efforts to promote his teacher, Beethoven; his activity as a pedagogue, both as teacher of Liszt and as the authority held up to innumerable amateur women pianists; his role in shaping performance traditions of classical music; the development of his image during and after his lifetime; and his work in genres including the Mass, the symphony, the string quartet, and the piano fantasy. This is the first English-language book on Czerny, and the broadest survey of his activity in any language. Contributors: George Barth, Otto Biba, Attilio Bottegal, Deanna C. Davis, James Deaville, Ingrid Fuchs, David Gramit, Alice M. Hanson, Anton Kuerti, Marie Sumner Lott, James Parakilas, Michael Saffle, Franz A. J. Szabo, Douglas Townsend, and John Wiebe. DavidGramit [University of Alberta] is the author of Cultivating Music: The Aspirations, Interests, and Limits of German Musical Culture, 1770-1848.
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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 | 0.002 | 0.005 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.029 | 0.007 |
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".