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Record W4387305686 · doi:10.1111/1468-0424.12735

Attitudes to Pregnancy, Childbirth and Postnatal Complications in Medieval English <i>Miracula</i>

2023· article· en· W4387305686 on OpenAlexaff
Ben Nilson, Ruth H. Frost

Bibliographic record

VenueGender & History · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan Campus
Fundersnot available
KeywordsVettingChildbirthMiracleContext (archaeology)PregnancyObstetricsHistoryMedicineGender studiesSociologyPolitical scienceLawArchaeology

Abstract

fetched live from OpenAlex

Abstract This article re‐examines the evidence about childbirth and related topics in the posthumous miracle collections of English saints. It finds forty‐eight such miracles in collections of thirteen English saints, mostly from the century or so after 1170. The article argues that the context in which the stories were composed is vitally important to understanding how they can be used. Contemporary concerns with miracles that could be verified constrained what stories the hagiographers could use. The nature of pregnancy and birth also limited what information could come to the keepers at the shrine in charge of collecting such stories. However, the writers were not acting as an elite vetting the information, but rather cooperated with their informants and had a sympathetic and positive view of the pregnant women. The miracula reveal that, unfazed by even gruesome gynaecological issues, the male hagiographers showed some knowledge about the birthing process. By examining the body of stories, we show what the miracula can and cannot tell us about pregnancy and childbirth.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
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 head0.052
GPT teacher head0.239
Teacher spread0.187 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2023
Admission routes1
Has abstractyes

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