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Record W7029712095

L'antiroman au risque de la réécriture. La redéfinition des stratégies intertextuelles et parodiques dans les mises en prose du «Cligès» et du «Roman de la Violette»

2012· other· en· W7029712095 on OpenAlexvenueno aff

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2012
Typeother
Languageen
FieldPsychology
TopicEmotional Intelligence and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsRomanceChivalryPoeticsMiddle AgesCriticismOld FrenchPoetry
DOInot available

Abstract

fetched live from OpenAlex

During the 14th and 15th centuries, some of the romances and epics stemming from the central Middle Ages were translated into prose at the Court of Burgundy. Among those are Chrétien de Troyes' Cligès (ca. 1176) and Gerbert de Montreuil's le Roman de la Violette (ca. 1227-1229), both of which were rewritten into prose by anonymous authors around the middle of the 15th century (ca. 1455 and ca. 1451). Although literary criticism as often only seen the documentary value of these mises en prose, the poetics of the romance went through various transformations from the 12th to the 15th century. Weaved with intertextuality, both Cligès and le Roman de la Violette originally present themselves as antiromances holding the keys to their own criticism. But as the intertextual strategies undergo massive changes, the antiromance aspects of the versified romances disappear from the rewritten works. Those are then perceived as simple stories of romance and chivalry (« d'armes et d'amour »), influencing the modern idea of the medieval romance. This thesis will examine how the strategies of self-reflexivity, evident marks of intertextuality, literary techniques and parodic games involving commonplaces and motifs of the marvellous evolve from the sources to the rewritten versions. This comparison will allow us to better define the practice of the mise en prose and see how the rewritten novels fit into a new « horizon of expectations » (Hans Robert Jauss) brought by the 15th century.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.844
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.224
Teacher spread0.217 · 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
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueLibrary and Archives Canada (Government of Canada)Same topicEmotional Intelligence and PerformanceFrench-language works237,207