The Political Use of Epicureanism in Filelfo’s Commentationes Florentinae de exilio
Bibliographic record
Abstract
Francesco Filelfo’s Commentationes Florentinae de exilio (ca. 1440) presents us with a dialogue among a group of nobles and scholars who debate several issues in moral philosophy to console themselves on their defeat by Cosimo de’ Medici. The role of pleasure in human happiness is treated in several sections of the work in relation to three of Filelfo’s main goals: the condemnation of his rivals Poggio Bracciolini and Niccolò Niccoli (both of whom were connected with the Medicean circle), the exaltation of his own philological erudition, and the attack on Cosimo’s regime. There is textual evidence that Filelfo used some of the ideas presented by Valla in his De voluptate (1431) for the purpose of satirizing his rivals and showing that their interest in Epicureanism was morally and intellectually flawed.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.014 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.009 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".