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Record W4406169603 · doi:10.5206/mfds-ecfw.v10i1.22361

Burlesque et équivoque, deux tendances infortunées du Grand Siècle

2025· article· fr· W4406169603 on OpenAlexvenueno aff
Saman Shahriari

Bibliographic record

VenueLe Monde français du dix-huitième siècle · 2025
Typearticle
Languagefr
FieldArts and Humanities
TopicEuropean Political History Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsBurlesqueHumanitiesPolitical scienceArtArt history

Abstract

fetched live from OpenAlex

Le burlesque, tendance aux origines italiennes, marque l’émergence du dernier mouvement qui rejette avec toute force la surveillance des institutions sur l’espace littéraire. Ce style, résultat de l’amalgame artificiel de nombreux procédés littéraires, couvre le texte d’un voile opaque compliquant l’herméneutique. Étant donné que ce courant puise ses forces de l’obscurité, il est sérieusement prohibé par les théoriciens aussi bien que par les théologiens de l’époque. Sur le plan littéraire, le grotesque est accusé de violer les principes du goût et de mettre en péril la clarté. Sur le plan éthique, son ambivalence est perçue comme un vecteur d’irreligion infiltrant des textes jusque-là jugés innocents. Enfin, politiquement, il devient inconcevable pour le Roi de tolérer des écrits qui colportent des conjurations contre son absolutisme. Ces jugements ont fait du burlesque le chant du cygne du courant oppositionnel au XVIIe siècle. Toutefois, il y a toujours la possibilité de mettre en scène le burlesque dans le genre dramatique car il compte une dynamique essentielle de l’euphorie. En outre, le burlesque s’avère moins rebelle dans le théâtre car il constitue un élément mineur de la mise en scène.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.010
Scholarly communication0.0070.004
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0270.004

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 head0.222
Teacher spread0.211 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2025
Admission routes1
Has abstractyes

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