A Review of Klára Móricz's Jewish Identities: Nationalism, Racism, and Utopianism in Twentieth-Century Music
Bibliographic record
Abstract
Klara Moricz explores the question of the ethnic identity of composers of Jewish origin in Jewish Identities: Nationalism, Racism, and Utopianism in Twentieth-Century Music. The material in this 436-page book is organized in three parts, “Jewish Nationalism a la Russe : The Society for Jewish Folk Music,” “Man’s Most Dangerous Myth: Ernest Bloch and Racial Thought,” and “Utopians/Dystopias: Arnold Schoenberg’s Spiritual Judaism.” The three main ideas running through Moricz’s book are a comparison of the differences between Jews in Russia, Switzerland, France, Austria, Germany, and the United States; the involvement of Jewish composers in Jewish culture and as part of an international society; and how these Jewish composers were affected by the new social and world events that arose at the beginning of the twentieth century. Moricz believes “the study of Jewish identities in professional music, with an emphasis on their complex, often conflicting nature, [is] something much ignored in essentialist studies of identity,” (18) thus providing the scholarly community with an in-depth study of a topic not well explored.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".