Bach’s Little Prelude No. 4 in D Major, BWV 925
Bibliographic record
Abstract
Abstract Fundamentally the motive signifies only a succession of two tones—d2 and c_2 in bars but the internal treatment is richer: the first two quarter notes,since they both include leaps of a third, d1 –f 1 and a1 –c 2, are tightly bound together by this common characteristic (the light decoration of the second leap of a third does nothing to contradict this); and similarly the third and fourth quarter notes unite into a half note, d2, which they express so strongly that the leap of a third d2 –f 2 is completely lost in them, despite the rhythmic augmentation. In the hand of the master, a motive like this could even have become the dux of a real fugue (see, for example, the fugue of the Toccata in D major [BWV 912], imbued with all the exuberance of a free fantasy), but here Bach is satisfied with just the application of some features of the fugal form. These consist obviously in the fact that the imitation in the bass in bars 2-3 assumes the form of a comes, which is taken up by the upper voice in bars 3-4 and answered by a dux form in the bass in bars 4-4.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".