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Record W2525811034 · doi:10.7202/1037387ar

De la Caserne au volcan : les Poésies érotiques de Parny entre xviiie siècle et modernité

2016· article· fr· W2525811034 on OpenAlexaffvenue
Massimiliano Aravecchia

Bibliographic record

VenueTangence · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicHistorical and Literary Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Malgré la renommée qui l’a accompagné de son vivant, Évariste Parny (1753-1814) demeure un auteur oublié de nos jours. Parmi les causes de cet oubli, la condamnation que les poètes romantiques (notamment Lamartine) ont prononcé contre la volupté et l’impiété de ses oeuvres tient une place de choix. Néanmoins, ses Poésies érotiques (1778) informent à bien des égards l’évolution de la poésie lyrique à la frontière entre Ancien Régime et xixe siècle. L’amalgame de biographie et de fiction annonce chez Parny la problématique définition du sujet lyrique propre au romantisme ; en outre, l’insistance sur une destinataire unique et les traits d’exotisme de son oeuvre constituent autant d’éléments qu’exploiteront les poètes du xixe siècle. L’originalité majeure des Poésies érotiques repose essentiellement sur le renouveau du genre élégiaque : à travers l’addition d’un livre d’« Élégies », le poète met en perspective son expérience amoureuse ; il ouvre ainsi le « chant du moi » à une temporalité qu’ignorait la poésie « fugitive » du xviiie siècle et qui prélude au topos romantique de la fuite du temps.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.011
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.005
Scholarly communication0.0020.003
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.025
GPT teacher head0.301
Teacher spread0.276 · 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
Published2016
Admission routes2
Has abstractyes

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