The Biography of a Perfect Queen Addressed to an Imperfect Lady: The Life of Theodelinda of Bavaria in Giovanni Sabadino degli Arienti’s Gynevera de le clare donne
Bibliographic record
Abstract
Around 1489–90, during the period of his service for the house of Bentivoglio, Giovanni Sabadino degli Arienti wrote the Gynevera de le clare donne, a catalogue containing thirty-three lives of exemplary women, for Ginevra Sforza Bentivoglio, Giovanni II’s wife and counsellor. Even though throughout his work Sabadino insists on the virtues and perfection of his addressee, chroniclers wrote extensively about Ginevra’s cruelty, wrath, and vindictive personality as well as her unfaithfulness towards her first husband. Although all these features clearly contrast with the behaviours of the women included in the Gynevera, the perfection of the first of the protagonists of the book, Theodelinda of Bavaria, is constructed by Sabadino through allusion to a series of characteristics exactly opposed to those that the contemporary chroniclers attributed to Ginevra. In this article, I study Sabadino’s biography of Theodelinda as a paradigm of perfect woman and ruler, comparing it to the features that, according to fifteenth- and sixteenth-century chroniclers, made Ginevra Sforza Bentivoglio an imperfect wife and counsellor.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".