MétaCan
Menu
Back to cohort
Record W2075072210 · doi:10.4000/crm.12032

L’écriture des interventions narratoriales dans Melyador

2010· article· fr· W2075072210 on OpenAlexaff
Nathalie Bragantini-Maillard

Bibliographic record

VenueCahiers de recherches médiévales et humanistes · 2010
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsOralityLiteratureNarrativeRomanceLinguisticsObject (grammar)PoetryStatement (logic)OmnipresenceVariety (cybernetics)Mode (computer interface)PhilosophyArtPsychologyComputer scienceEpistemology

Abstract

fetched live from OpenAlex

The narrative voice of Jean Froissart’s romance Melyador is characterized by its omnipresence and by the originality and the delicacy of its manifestations. In order to ascertain how Froissart handles this repertoire reputedly limited by tradition, the object of this study is to examine his interventions on the microstructural level, taking into account the various functions they perform in the text. It appears that the formulas and the syntactic forms employed originate from the verse romance, from the epic poem, from the narrative but also the historiographic prose. Is thus exposed a tension between the writing and the oral modes that could be defined as orality founded on solemn writing. Despite some borrowings from tradition, the writing of narratorial interventions is not set. Concerned about variety and lexical as well as syntactic research, the author combined ancient formulas, at times of prosodic function, with less stereotypical, not to say openly personal, expressions. It emerges that the narrator is deeply involved in his story, nearly present physically and engaged in a constant dialogue with the audience, on a conversational mode that is lively, elegant and not devoid of humour.

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)0.005
metaresearch head score (Gemma)0.010
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: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.010
Scholarly communication0.0090.004
Open science0.0010.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.136
GPT teacher head0.370
Teacher spread0.234 · 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

Citations1
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueCahiers de recherches médiévales et humanistesSame topicLinguistics and Discourse AnalysisFrench-language works237,207