Le porcher au palais : Kalila et Dimma, le Roman de Fauvel, Machaut et Boccace
Bibliographic record
Abstract
Une petite phrase à résonance politique se retrouve dans cinq textes datant de 1313 à 1359 : " Porchier mieus estre ameroie que Fauvel torchier " ( Kalila et Dimna, le Roman de Fauvel du BNF Ms. Fr. 146, le Confort d'ami et une complainte de Machaut, et " Griselda " du Décameron de Boccace). La circulation transtextuelle de la petite phrase révèle le monde de la chancellerie médiévale où se brassent la littérature et la politique et où on s'interroge sur le fondement moral du pouvoir. Elle dénonce l'abus de pouvoir, le mauvais conseiller, et la corruption de la cour en même temps qu'elle fige une parole fuyante qui éclaire toute une époque
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".