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Record W4385983719 · doi:10.3726/med.2022.01.112

<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.

2022· article· en· W4385983719 on OpenAlexaboutno aff
Jane Beal

Bibliographic record

VenueMediaevistik · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Science and Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsFifteenthVernacularClassicsThe RenaissanceThe artsHistoryMedicineArtArt historyLiteratureVisual arts

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.647
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.017
GPT teacher head0.232
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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