Benjamin Britten: Composer as Conductor and the Art of Self Interpretation
Bibliographic record
Abstract
abstract: In the triumvirate of composer-performer-listener, while the listener always wins, the performer is the interpreter through which the listener experiences the writings of the composer. When the composer and performer are combined, however, a unique situation arises: the link from the composer to the listener becomes a direct line and the composer becomes his/her own interpreter. Such is the case with Benjamin Britten. Britten conducted almost his entire repertoire in recordings for Decca (the exceptions being Paul Bunyan, Owen Wingrave, and Death in Venice). A comparative analysis of the recordings of four of Britten's works, the Serenade for Tenor, Horn, and Strings, Op. 31; Albert Herring, Op. 39; Spring Symphony, Op. 44; and the Nocturne, Op. 60, shows that despite his complaints about performers not following his tempo markings, Britten often deviated from them himself, tending slower. Britten also occasionally added additional rubato, ritardandi, and accelerandi to his works. Additionally, a discrepancy regarding a pitch in the "Prelude" of the Serenade comes to light. Video of Britten conducting the Nocturne in rehearsal with the Canadian Broadcasting Company (CBC) Vancouver provides additional insight into his methodology. Benjamin Britten succeeded as a composer-conductor, and his catalogue of recordings provides essential primary reference material when studying his works.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.021 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 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".