Haydn’s Sonata in C Major, Hoboken XVI35
Bibliographic record
Abstract
Abstract Bars 1ff. The first subject is in two parts; the consequent phrase repeats the antecedent almost exactly, apart from the triplet accompaniment. The Urlinie (p. 154) moves from 5ˆ to ˆ1. In the arpeggiation of the upbeat, which leads up to the 5ˆ in bar 1, the motivic life of this movement is also kindled: the two thirds, c2 –e2 and e2 –g2, are in the course of events answered by b1 –d2 and d2 –f 2: by this, the 4ˆ of the Urlinie is finally gained in bar 5. Still further in the service of the 3ˆ and the 2ˆ, we see the arpeggiation of a third as a creator of motives (downwards arpeggiation). That the quarter-note upbeat contributes to the synthesis also in the rhythmic domain can easily be deduced from the beginnings of the motives.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.049 | 0.011 |
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".