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Record W2316895545 · doi:10.1017/s147940980000135x

Nationalism and Early Music at the French<i>Fin de Siècle</i>: Three Case Studies

2004· article· en· W2316895545 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNineteenth-Century Music Review · 2004
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsMcGill University
Fundersnot available
KeywordsIntelligentsiaEliteRepertoireNationalismGermanMetaphorNationalityLiteratureArtHistoryLinguisticsPhilosophyImmigrationPoliticsLawPolitical science

Abstract

fetched live from OpenAlex

The evidence of more than three hundred concerts of early music given by the Parisian Schola Cantorum and its sister association, the Chanteurs de Saint-Gervais, as well as more than four hundred performances of this repertoire outside the Schola shows that the most consistently performed composer in Paris at the French fin de siècle was the German Johann Sebastian Bach. This is coupled with a shift at the Schola, from a preponderance of works by Palestrina in the 1890s to a new emphasis on Rameau operas in the early 1900s. This article is an attempt to understand these repertorial preferences as manifestations of at least two types of nationalism: first as a mass movement to attain ethnic-linguistic homogenization and second as a movement by the social elite as a means of establishing its difference. All three composers examined in the case studies emerge as vehicles for both types of nationalism, though there is more evidence of the second type than there is of the first. This article also shows that there is a distinction between the ways in which these repertoires were either co-opted or received by the social elite and the intelligentsia, the latter using early music as a metaphor for the ‘serious’.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.567
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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.

Opus teacher head0.063
GPT teacher head0.272
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it