Le narrateur « désinvolte » ou l’écriture en trompe-l’œil dans le Livre du Chevalier errant de Thomas de Saluces
Bibliographic record
Abstract
Les guillemets qui accompagnent l’adjectif « désinvolte » du titre laissent pressentir une désinvolture plus apparente que réelle, qui pourrait n’être, après tout, qu’un trompe-l’œil, un des nombreux que révèle l’écriture du Chevalier errant. Ce qualificatif s’est imposé à moi à la lecture du commentaire du narrateur expliquant de façon cavalière pourquoi il passe du vers à la prose : « Meshuy je vueil en prose en part compter / Car il m’ennuye de tant versifier ». De toute évidence, la remar...
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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 teacher head, 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".