French Music Criticism and Musicology at the Turn of the Twentieth Century: New Journals, New Networks
Bibliographic record
Abstract
This article examines the efforts of French musicologists to create a specialized journal at the turn of the twentieth century that would clearly associate music criticism and musicology. Using as case study a set of music journals, from La Revue d’histoire et de critique musicales to the Mercure musical and the Revue S.I.M. that followed, I establish the connections that brought together the nascent musicological milieu, the musical press and the artistic affinities among the principal actors in their attempt to create a new network of music critics guided by musicological exigencies. Jules Combarieu, Romain Rolland, Louis Laloy, Jean Marnold, Émile Vuillermoz and Jules Écorcheville are some of the musicologists engaged in this project between 1900 and 1914. But historical contingencies make this project a relative utopia, and requirements of the young musicology hardly meet that of a music criticism divided between disciplinary tradition and the necessity to support contemporary music. After the war, with the founding of a new Revue musicale, René Prunières, prudently, would not hire musicologists to develop a music criticism. Instead, he took up the characteristically Republican project of promoting musical culture, and thus responding to the interests of both the cultivated bourgeoisie and the musical, literary and artistic milieus through diffusion of music knowledge.
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.011 | 0.014 |
| Scholarly communication | 0.019 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".