Bibliographic record
Abstract
Good heavens, I've never thought of it," Milton Babbitt exclaimed when a Canadian journalist asked him about the possible influence of the Cold War on his thinking about-hence his writing of-his music. "It certainly didn't have any influence on me in any musical way," he insisted, even while admitting that the politics of earlier decades had "profoundly influenced his politics and philosophy," according to the interviewer, Paul Mitchinson-and even after Martin Brody had broken the ground for musical studies of "Cold War culture" with the seminal article to which Peter Schmelz makes reference in his introduction: a study precisely of Babbitt, conducted not by (let's say) an unsympathetic West Coast music historian, but from within the family of academic serialists, albeit by a member of the clan who could be described, in words he had used to describe another, as "a staunch and impassioned, if progressively more disenchanted, partisan." 1 Babbitt had sat for interviews on the way to that article, and Brody thanks him for this "cooperation in editing them." 2 Had he forgotten? Did he suddenly disagree with what he had told his interviewer?
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.098 | 0.061 |
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".