Bibliographic record
Abstract
Why and how should a figured-bass treatise account for modulation? These two questions will be addressed with reference to the treatise Wiener-Tonschule; oder Anweisung zum Generalbaße, zur Harmonie, zum Contrapuncte und der Fugen-lehre (1827), by the Viennese theorist Joseph Preindl (1756–1823). To answer the question “Why?”: a figured-bass treatise such as Preindl’s might have accounted for modulation as a means to facilitate improvisation of preludes or fantasies, and it might have done so under the developing influence of northern Teutonic theorists of modulation such as Gottfried Weber and Abbe Vogler. To answer the question “How?”: a figured-bass treatise might account for modulation through a pattern-based approach, but it should not do so through a pivot-chord approach, since the latter presumes an understanding of chordal root harmony that lies beyond the scope of figured bass.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.044 | 0.000 |
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 teacher head, 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".