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Record W2076386407 · doi:10.1093/shm/14.3.389

On Display: Portraits of Seventeenth-century French Men-midwives

2001· article· en· W2076386407 on OpenAlexaff
Lianne McTavish

Bibliographic record

VenueSocial History of Medicine · 2001
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsPortraitBourgeoisieMasculinityIdentity (music)Queen (butterfly)Character (mathematics)Gender studiesSociologyHistoryArtArt historyVisual artsLawAestheticsPoliticsPolitical science

Abstract

fetched live from OpenAlex

This article examines the portraits of seventeenth-century French accoucheurs [men-midwives] that regularly appeared as the first plate in their obstetrical treatises, representing the body from which the text had issued. It argues that these visual documents were forms of strategic display in keeping with the wider goals of the treatises--to present their authors as cultivated, skilled, and vastly experienced experts in childbirth. At a time when the visual evaluation of character was commonplace within medical and other contexts, author portraits presented the public image of accoucheurs. Before analysing the idealized images of men-midwives. however, the article explores the author portrait of Louise Bourgeois, royal midwife to Queen Marie de Médicis from 1601-9, and the first French woman to write obstetrical treatises. Bourgeois is portrayed not only as an exceptional practitioner granted royal favour, but also as a hybrid figure whose identity fluctuated between efficient female midwife and educated theoretical writer. Portraits of accoucheurs represent the unstable identity and rather flexible 'masculinity' of male practitioners who likewise blurred gendered categories. Some images identify male practitioners exclusively with theoretical knowledge, while others associate them more directly with the maternal qualities traditionally admired in female midwives.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.470
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.024
GPT teacher head0.230
Teacher spread0.205 · 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.

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

Citations4
Published2001
Admission routes1
Has abstractyes

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