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Record W2040575282 · doi:10.7202/013674ar

Renaut de Montauban ou Les quatre fils Aymon.

2006· article· fr· W2040575282 on OpenAlexvenueno aff
Florence Naugrette, Jean Maurice

Bibliographic record

VenueÉtudes littéraires · 2006
Typearticle
Languagefr
FieldArts and Humanities
TopicLiterary Analysis and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Dans le corpus de la littérature médiévale connue du public dans la première moitié du XIX e siècle, c’est l’épopée Renaut de Montauban ou Les quatre fils Aymon qui connaît la fortune la plus grande au théâtre. Transmise notamment par la Bibliothèque bleue, elle est devenue une légende vivante dans la mémoire collective. Transposée parfois très librement sur les scènes populaires, elle prête ses motifs héroïques et merveilleux au goût du spectaculaire, au prix d’une altération des textes initiaux : sollicitée pour traiter de la légitimité du pouvoir, de l’existence du mal, de la condition féminine ou de la décadence de l’aristocratie, la légende sert moins à faire connaître le Moyen Âge qu’à tendre aux contemporains un miroir du XIX e siècle.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.800
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.023
GPT teacher head0.226
Teacher spread0.203 · 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
Published2006
Admission routes1
Has abstractyes

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