The Comedies of Alessandro Piccolomini: Searching for the Perfect Woman between Loving Initiative and Virtue
Bibliographic record
Abstract
In theoretical works such as Orazione, Della institutione, and Raffaella, the Italian writer, scientist, and philogynist Alessandro Piccolomini (1508–78) outlines the characteristics that should make up the perfect woman. In his comedies—Alessandro and L’Amor costante—focusing mainly on the theme of love, Piccolomini presents some of the same ideas, articulating them through his noble and cultured female characters. This article examines Piccolomini’s dramatic productions in light of his treatises and other writings on women in order to underline his originality in the creation of these female characters. On the one hand, they are models of virtue and decorum; on the other, they demonstrate an unusual degree of initiative in love. They are conscious of their desires, and they defend their right to choose their lovers. In this way, Piccolomini describes new traits of the perfect woman.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.017 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".