La didactique du roman libertin à travers les expressions figées sur la beauté féminine
Bibliographic record
Abstract
Le but de notre étude est d’analyser l’importance didactique concernant certaines expressions figées, venant des romans libertins du dix-huitième siècle, dans l’enseignement de la littérature française. Il sert pour identifier non seulement la fonction de la beauté dans la littérature libertine, mais aussi la spécificité d’expressions figées précises, fréquemment utilisées par les romanciers libertins au dix-huitième siècle. À l’exception de Laclos, les écrivains libertins sont traditionnellement exclus des programmes scolaires ou universitaires italiens parce qu’ils ont été longtemps jugés comme scandaleux en raison du sujet de leurs écrits. Ainsi est-il impensable de proposer l’étude de Sade dans l’enseignement secondaire. On veut alors montrer comment ces expressions figées permettent d’aborder la littérature libertine de façon différente.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.018 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".