Le Prêtre mis à nu: étude de la poétique du personnage dans les fabliaux érotiques (XIIe- XIVe siècles) suivi de: Adagio malgré lui
Bibliographic record
Abstract
The first part of this thesis is an analysis of the priest in a selection of erotic fabliaux written between the 12th and 14th centuries (Gombert et les deus clers, Le Prestre taint, Le Vilain de Bailluel and Le Prestre ki abevete). While the "anticlericalism" of the fabliaux is toned down by the differences between the types of the cleric and the priest, this analysis dwells on the figures of the deceived priest and the deceitful one. Through the study of the deceitful priest, it demonstrates that the duper offers a mise en abyme of the author and the jongleur in action, used by the fabliau to rehabilitate the fiction and to examine the power of speech and language, which helps unveil the "mecanic" of the genre and the types of medieval literature.The second part of this thesis is a narrative text that uses some traits of the drama genre to create a distance between the reader and the characters, who live in a small village where a certain lack of interest for religion rules. These inhabitants will be thrilled by the announce and arrival of a young priest, Adagio. Soon, this newcomer will become the object of all discussions and all rumors, so much so that he will exist only through others' words.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".