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Record W4210298147 · doi:10.5206/uwomj.v90i1.10612

Healer or Hag? Female Medical Practitioners and Witch Accusations in 17th-Century New England

2022· article· en· W4210298147 on OpenAlexaffvenue
Nicole Y.L. Lam

Bibliographic record

VenueUniversity of Western Ontario Medical Journal · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsFalse accusationWitchCredibilityPower (physics)HistoryLawPsychologyCriminologySociologyPolitical science

Abstract

fetched live from OpenAlex

In 17th-century New England, many women provided valuable medical services to their communities without formal training as midwives and healers. They were generally well-respected by their patients and trusted to testify as medical experts in cases of paternity, rape, and witchcraft at community forums. Yet this trust was capricious; female medical practitioners could easily be accused of being witches, usually for failing to heal a patient or causing illness through supernatural means. This paper examines two women who practiced medicine and were accused of witchcraft in 17th-century New England. The details and circumstances surrounding the witchcraft accusations against Jane Hawkins of Boston, Massachusetts in 1637 and Ann Burt of Lynn, Massachusetts in 1669 are gathered from court documents, journal articles, and secondary source materials. In analysing the cases of Jane Hawkins and Ann Burt, several themes are explored to explain why early female medical practitioners tread a thin line between trusted healers and witches. In Hawkins’ case, inexplicable medical maladies were often attributed to witchcraft when a woman was involved and she did not fit Puritan ideals of how a woman should behave. In Burt’s case, an accusation of witchcraft was used by male physicians to eliminate competing female healers in a crowded medical marketplace. Both Hawkins and Burt practiced medicine in a manner that threatened the inherent power differential favouring men, leading to witchcraft accusations intending to destroy their credibility as medical practitioners.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.834
Threshold uncertainty score0.985

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0160.000

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 head0.035
GPT teacher head0.217
Teacher spread0.182 · 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 designObservational
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

Citations2
Published2022
Admission routes2
Has abstractyes

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