Un-settling Scores: A Review of Michael H. Kater's Composers of the Nazi Era: Eight Portraits
Bibliographic record
Abstract
After Different Drummers (1992) and The Twisted Muse (1997), Michael H. Kater has presented Composers of the Nazi Era: Eight Portraits, as “the last in a trilogy on the interrelationship between sociopolitical forces on the one side, and music and musicians in the Third Reich, on the other” (264). The author is Distinguished Research Professor of History at the Canadian Centre for German and European Studies (York University). The author of the present review, a musicologist, must express his gratitude to Professor Kater for helping to make it professionally unacceptable to restrict oneself anymore to “the music itself” when considering certain composers active in Germany of the 1930s. By the same token, Kater’s reticence about “the music itself” (which presumably springs from humility) will leave many a musicologist itching to adduce (if not consult) the scores to confirm or to contest Kater’s points, for Kater is writing about lives, not works, unless the works have impinged on biographical issues.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".