Bibliographic record
Abstract
This is an examination of Leonard Bernstein’s impact as conductor and musical advocate. He was a champion of the works of Jean Sibelius and Gustav Mahler at a time when their work was unfashionable, bringing them to a much larger audience. The American composer he admired most was Aaron Copland, whose ’Connotations’ he led to open Lincoln Center for the Performing Arts. He was not in sympathy with most ‘12 tone’ music but did lead avant-garde works by the composers Lukas Foss, Elliott Carter, John Cage, and others. He conducted the world premiere of Olivier Messiaen’s ‘Turangalila Symphony’ in Boston in 1949 but never presented it again. He was an adept Straussian but only led the works composed before World War I. This was also his favourite period of Stravinsky’s work, although he added the three symphonies to his repertory in later years. On television, he led studies of rock and jazz. He conducted and recorded much of the standard repertory from the nineteenth century onwards, with only a few forays into Baroque and Classical-era music, with a particular emphasis on Haydn. There is some discussion of Bernstein’s podium manner and the conductors he influenced.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.182 | 0.073 |
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".