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Record W4297394172 · doi:10.4000/elh.3148

«  La France, patrie de la chanson  » à l’épreuve de la romance musicale de la monarchie de Juillet

2022· article· fr· W4297394172 on OpenAlexaff
Christophe Dupraz

Bibliographic record

VenueÉcrire l histoire · 2022
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Le deuxième quart du xixe siècle voit le développement d’une réflexion sur la valeur artistique et la légitimité historique de la romance française, genre vocal de prédilection des salons du temps. Il s’agit de prendre acte du statut exceptionnel de la chanson qui, d’une certaine manière, fonde musicalement l’identité culturelle de notre pays : la France est, par excellence, la patrie de la chanson. La médiocrité du matériau poétique fourni aux compositeurs de romances incite à s’interroger sur les conditions sous lesquelles le genre pourrait retrouver le lustre – largement idéalisé – de notre « chanson éternelle ». Les grands chansonniers du passé, notamment Clément Marot, le poète de François Ier, sont un modèle possible pour les musiciens du xixe siècle, mais c’est le lyrisme d’un Pierre de Ronsard qui s’imposera comme garant de la continuité historique du chant français.

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.

How this classification was reachedexpand

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.662
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0110.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.219
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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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