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Record W2936653670 · doi:10.31743/ql.4604

Le mélange du sacré et du profane dans les livrets de tragédies lyriques du librettiste Nicolas-François Guillard (1752-1814)

2013· article· en· W2936653670 on OpenAlexaff
Cécile Champonnois

Bibliographic record

VenueQuêtes littéraires · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Literary Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsArtHumanitiesMythologyArt historyPhilosophyLiterature

Abstract

fetched live from OpenAlex

Nicolas François Guillard (1752-1814) was one of the best librettists of the Tournant des Lumières. The libretto of Proserpine by Quinault, set to music by Lully at the end of the seventeenth century, was adapted by Guillard and once again set to music by Giovanni Paisiello in 1803. Six years later, in 1809, La Mort d’Adam, adapt-ed by Guillard from Friedrich Gottlieb Klopstock’ Der Tod Adams (1757), was set to music by Jean-François Lesueur.
 These rewritings, with religious or sacred topics staged for a secular theatre by Guillard, are very different from the original works and tend to be family dramas: he then transforms them into secular works with secular content. Human sacrifices are present in these works but seem to feature here for family reasons and not only for religious purposes. Divinities are presented by the librettist as human beings, whose family roles are predominant. The sacred and the profane are mixed in these two librettos, changed into hybrid works. Guillard seems to use the same model to adapt historical, mythological or religious works, which means that the role and the impor-tance of the religious in the works staged at the Académie Impériale de Musique in the period of the Tournant des Lumières has to be examined.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.614
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.237
Teacher spread0.225 · 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; a candidate call from one teacher head, not a consensus.

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
Published2013
Admission routes1
Has abstractyes

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