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
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?
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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