Intimate expression for a widening public: the keyboard sonatas and trios
Bibliographic record
Abstract
The keyboard was an enduring focus of Haydn's activity and achievement. Composition began for him with improvisation at the keyboard, and he later likened himself to “a living keyboard” touched by imagination. As a performer he was by his own admission no “wizard”; yet he mastered the harpsichord and clavichord in his youth, and skillfully navigated the passage to the fortepiano as it became increasingly available in the 1780s. These three instruments inspired around sixty solo sonatas (Hoboken work-group XVI), a handful of incidental pieces (Hob. XVII), at least forty keyboard trios with violin and cello (Hob. XV), and an odd dozen divertimentos and concertinos for keyboard and accompanying strings (Hob. XIV). This impressive body of work runs the gamut from the solo and accompanied Clavier divertimentos and partitas of the 1750s and early 1760s to the London pianoforte sonatas and trios of 1794–95, bringing him from the loneliness of his attic garret on the Michaeler-platz to a pan-European market. This essay examines how Haydn's keyboard music – while remaining essentially a vehicle for private sentiment – widened its appeal to reach an international audience of publishers and patrons.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".