<i>A Mother’s Manual for the Women of Ferrara: A Fifteenth-Century Guide to Pregnancy and Pediatrics,</i> ed. Gabriella Zuccolin and trans. Martin Marafioti. The Other Voice in Early Modern Europe: The Toronto Series, 89. New York and Toronto: Iter Press, 2022, pp. 254.
Bibliographic record
Abstract
Abstract: Gabriella Zuccolin (Ph.D., Salerno), Andrew W. Mellow Fellow at the Harvard University Center for Italian Renaissance Studies, and Martin Marafioti (Ph.D., Johns Hopkins University), Professor at Pace University in the Dyson College of Arts and Sciences, have collaborated to bring readers a translation of Michele Savonarola’s vernacular Italian manual bearing the Latin title, De regimine praegnantium et noviter natorum usque ad septennium, or Regimen for Pregnant Women and Newborns up to the Seventh Year, which they have introduced, translated, and annotated. For the new book publication, they have given Savonarola’s work an accurately descriptive title in English: A Mother’s Manual for the Women of Ferrara: A Fifteenth-Century Guide to Pregnancy and Pediatrics. Their work contributes to the increasingly rich academic literature on medieval and early modern medicine, midwifery, maternity, and the realities of the childbearing year, including the care of the newborn. Their work can be greatly appreciated in relation to work of cultural and medical historian Monica Green on the medieval midwife-physician Trotula of Salerno and her treatise, called The Trotula, as well the work of other scholars of medieval and early modern medicine.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".