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Record W2291071650

Aimer la vertu, de l’amour à l’honnête amitié. Une histoire de L’Astrée (I, 10)

2016· article· fr· W2291071650 on OpenAlexvenueno aff
Julia Chamard-Bergeron

Bibliographic record

VenueTopiques études satoriennes · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicHistorical and Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyArtEthnologyHistory
DOInot available

Abstract

fetched live from OpenAlex

L’histoire de Bellinde et Celion est celle des amours contrariees de deux jeunes gens, finalement reunis par celui qui eut pu les separer. Ses protagonistes rivalisent en vertu. Le geste d’Ergaste, renoncant au mariage par admiration pour la « belle et vertueuse amitie » des jeunes gens, se distingue neanmoins par sa magnanimite. Honore d’Urfe a ecrit un roman exposant « les divers effets de l’honnete amitie », ainsi que l’annonce le sous-titre de L’Astree . Quelle en est pourtant la nature ? On pourrait conclure de l’histoire etudiee que l’amitie la plus noble est celle d’Ergaste, souhaitant etre « recu comme frere » des amants. Nous proposons plutot de la lire en tenant compte du projet global du roman, lequel aspire a definir un lien decoulant d’une reelle affection entre personnes de sexe oppose et susceptible de conduire au mariage ; celui-la meme qui fait naitre l’admiration d’Ergaste. Aussi l’apparente indistinction de l’amour et de l’amitie, laissant croire a la possibilite de changer la passion en affection vertueuse, fait-elle place dans le recit a une apologie de la toute-puissance de l’amour.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.014
Scholarly communication0.0080.006
Open science0.0010.004
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0140.004

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 head0.018
GPT teacher head0.263
Teacher spread0.245 · 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 designQualitative
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 routes1
Has abstractyes

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