P<scp>erformance</scp>, G<scp>rouping and</scp>S<scp>chenkerian</scp>A<scp>lternative</scp>R<scp>eadings in</scp>S<scp>ome</scp>P<scp>assages from</scp>B<scp>eethoven</scp>’<scp>s</scp>‘L<scp>ebewohl</scp>’ S<scp>onata</scp>
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
ABSTRACT It is proposed that one musically interesting way to characterise and compare different performances or recordings of the same piece is by correlating them with different Schenkerian interpretations through the medium of grouping. This approach is demonstrated through an examination of four ‘either/or’ passages from the first movement of Beethoven's Piano Sonata in E Major, Op. 81a, passages in which at least two Schenkerian interpretations are possible. Schenker's own published and unpublished sketches, among others, are considered alongside recordings by Vladimir Ashkenazy, Emil Gilels, Richard Goode, Murray Perahia and Artur Rubinstein. The approach is not meant to be self‐sufficient, but rather to contribute a new set of tools to the emerging multidisciplinary field of performance studies.
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.
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 | 0.013 | 0.076 |
| Meta-epidemiology (narrow) | 0.017 | 0.018 |
| Meta-epidemiology (broad) | 0.023 | 0.014 |
| Bibliometrics | 0.018 | 0.022 |
| Science and technology studies | 0.014 | 0.013 |
| Scholarly communication | 0.010 | 0.013 |
| Open science | 0.017 | 0.010 |
| Research integrity | 0.011 | 0.018 |
| Insufficient payload (model declined to judge) | 0.001 | 0.008 |
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 it