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Record W4200168434 · doi:10.1163/15733823-12340026

Inquisitor as Physician: Friars, Inquisitors, Women, and Medical Knowledge in Early Colonial New Spain (1530–1650)

2021· article· en· W4200168434 on OpenAlexaff
Jacqueline Holler

Bibliographic record

VenueEarly Science and Medicine · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicLatin American history and culture
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsColonialismArticulation (sociology)HistoryClassicsHistory of medicineLawPolitical sciencePolitics

Abstract

fetched live from OpenAlex

Abstract New Spain was the site not only of one of the largest-scale missionary enterprises in Christian history, but also of a prolonged encounter among diverse medical traditions of Mesoamerican, African, and European origin in which male missionaries were central. Given the paucity of licensed physicians in the colony, religious involvement in medical practice remained significant throughout the colonial period. This paper considers the confluence of religion and medicine in the encounters that friars and inquisitors had with women, arguing that in these encounters, missionaries and inquisitors participated in the translation, circulation, and creation of medical knowledge and positioned themselves as both theological and medical authorities, as proponents and translators of Galenic medical theory, and as “confessor-physicians” rather than “confessor-judges.” Women thus played a crucial interlocutory role in the articulation of a colonial religio-medical regime whose primary framers were not physicians, but clergymen.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.996
Threshold uncertainty score0.120

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.006
Scholarly communication0.0030.001
Open science0.0000.003
Research integrity0.0010.002
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 head0.014
GPT teacher head0.259
Teacher spread0.245 · 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.

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
Published2021
Admission routes1
Has abstractyes

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