Three Versions of Classic: The Construction of Gabriel Fauré in the 1920s
Bibliographic record
Abstract
Drawing on recent scholarship (Kelly, Pasler, Wheeldon, Fauser) examining the discursive construction of the reputations of well-known Belle-Époque musicians, this article investigates the case of Gabriel Fauré and the ways in which his posthumous legacy was shaped throughout the 1920s in France. Drawing on wide-ranging journalistic and biographical sources, the article argues that the figure of Fauré was increasingly constructed around the concept of the ‘classic’ in the years immediately following his death in 1924. I suggest that the types of ‘classicism’ associated with Fauré in this context were, however, multivalent and largely contingent on the cultural and aesthetic mandates of those ‘reputational entrepreneurs’ that sought to advocate in favour of his posthumous legacy. This article thus examines the notion of Fauré ‘the classic’ as it was discursively constructed in three specific instances: by the French Republic in its State funeral for the composer; by the young post-war generation of composers (especially Georges Auric of the group Les Six), and by the composer, former student, and biographer of Fauré, Charles Koechlin. These cases reveal that Fauré's classicism was articulated in contrasting ways, ranging from a heroic classicism associated with the celebration of national ‘great men’, an aesthetic classicism linked to French musical traditions, or, finally, a classicism derived from the aesthetics and culture of Ancient Greece.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.014 | 0.030 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".