Fonseca Pimentel, Eleonora. From Arcadia to Revolution: The Neapolitan Monitor and Other Writings. Ed. and trans. Verina R. Jones.
Bibliographic record
Abstract
Ouvrant la dernière partie consacrée aux « Écritures », Michel Jeanneret explore le paradoxe joyeux du voyageur renvoyé à sa vanité chez Folengo et Montaigne.Jean-Charles Monferran démontre l'importance de la parenthèse parodique du chapitre III de Pantagruel, lequel fait écho aux débats contemporains sur l'attitude du chrétien face au deuil.George Hugo Tucker examine la fusion des discours de l'amour et de l'amitié chez Muret exilé.Mireille Huchon montre que la représentation de l'Hercule gaulois suscite une bataille d'images politiques dans la première moitié du XVI e siècle.Julien Gœury retrace le parcours poétique et moral de Beaulieu dans le genre du blason.Rosanna Gorris Camos, observant des textes peu étudiés de Grévin, éclaire son programme d'écriture qui unit science et poésie.Cornelia Klettke analyse le spectacle critique et philosophique qu'offre La Conversation de Lucien, Érasme et Rabelais de Voltaire.André Guyaux éclaire l'originalité d'Octave, œuvre de jeunesse de Musset réputée défectueuse.Antoine Compagnon examine les variations métaphoriques de la plume de fer, innovation controversée du XIX e siècle.Thomas Hunkeler étudie l'intertexte ronsardien chez Beckett.Enfin, Ann Blair s'intéresse aux emplois d'expressions latines dans Astérix.celine fournial
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.004 | 0.008 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.027 | 0.006 |
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".