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Record W4395087377 · doi:10.1017/9781108891349.010

Interactions Among Three Mavericks of the 1960s

2024· book-chapter· en· W4395087377 on OpenAlexaff
Rob Haskins

Bibliographic record

VenueCambridge University Press eBooks · 2024
Typebook-chapter
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsMount Allison University
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

The atmosphere of innovation and experimentation in the 1960s was not lost on Leonard Bernstein. His advocacy for the Mahler symphonies, for instance, was highly influential to a generation of composers excited by Mahler’s stylistic heterogeneity. Indeed, one of the best-known examples, Luciano Berio’s Sinfonia , was dedicated to Bernstein and a New York Philharmonic commission. Bernstein also collaborated with two other mavericks of that decade: the pianist Glenn Gould and the composer John Cage. With the former, Bernstein led a much-understood but controversial performance of the Brahms first piano concerto; with the latter, he created a programme with the Philharmonic about what he called aleatoric music, including a performance of Cage’s indeterminate work Atlas Eclipticalis . These encounters were of immense importance to all three artists.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.024
Threshold uncertainty score0.116

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0160.017
Scholarly communication0.0100.007
Open science0.0010.009
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0150.003

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.

Opus teacher head0.020
GPT teacher head0.224
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooks→Same topicRace, History, and American Society→French-language works237,207→