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Record W2752950208 · doi:10.7202/1040900ar

Un roman dont il n’y a rien à dire

2017· article· fr· W2752950208 on OpenAlexvenueno aff
Isabelle Arseneau

Bibliographic record

VenueÉtudes françaises · 2017
Typearticle
Languagefr
FieldArts and Humanities
TopicMedieval European Literature and History
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

L’examen comparé des manuscrits qui ont conservé le roman de Méraugis de Portlesguez de Raoul de Houdenc (v. 1225-1235) tend à suggérer qu’il y aurait autant de versions de cette oeuvre qu’il y a de copies. Dans le manuscrit de Vienne ÖN 2599 – un livre du second quart du xive siècle qui se distingue fortement de la tradition manuscrite des romans arthuriens en vers par sa facture (un luxe rare) et sa composition (une oeuvre unique) –, les variantes sont à ce point nombreuses que leur collationnement semble témoigner de la volonté de proposer un roman différent de celui conservé dans les recueils du Vatican (Reg. Lat. 1725) et de Turin (BUN, L.IV 33). Les interventions du scribe visent autant le texte que le péritexte : s’il corrige le style, la thématique et le dispositif narratologique disloqués que l’on associe à l’écriture de Raoul de Houdenc, il propose également un prologue et un programme iconographique qui réorientent le roman vers le didactisme plutôt que vers le divertissement, visée qui était classiquement la sienne. Dépouillé de sa dimension contestataire (antiromanesque), le roman obtenu à force d’ajustements qui trahissent l’oeuvre telle qu’elle a été conservée dans les autres codices semble fournir un exemple de rupture entre la sphère du roman critique (destiné au plaisir intellectuel des clercs) et celle du roman « plaisant » (destiné plutôt à l’usage de la cour).

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)0.002
metaresearch head score (Gemma)0.007
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: Other · Consensus signal: Other
Teacher disagreement score0.017
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.015
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0170.003

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 head0.224
Teacher spread0.202 · 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
GenreOther

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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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Same venueÉtudes françaisesSame topicMedieval European Literature and HistoryFrench-language works237,207