Bibliographic record
Abstract
Cet article a pour ambition d’analyser les usages de l’équivoque dans trois ouvrages de Dassoucy, à savoir le Jugement de Pâris, l’Ovide en belle humeur et Les Aventures burlesques. À travers ce corpus, il s’agit de démontrer la variabilité de la nature de l’équivoque sous l’aspect des enjeux esthétiques. Il semble que le degré sémantique de l’équivocité des textes évolue au fil du temps selon l’intention et l’expérience de l’écrivain mais surtout selon le contexte de l’apparition de l’œuvre, et que l’équivoque accroît d’emblée l’efficacité esthétique de son ouvrage. Cependant, au fur et à mesure, elle devient un espace protégé, un acte social, un élément du souci éthique qui lui donne l’occasion de déclarer ses positions, quoiqu’elles soient jugées libertines.
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 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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.005 |
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; both teacher heads agree on what is shown here.
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".