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Record W2810841335 · doi:10.1136/medhum-2017-011390

A politics of the senses: the political role of theKing’s-Evil in Richard Wiseman’s<i>Severall Chirurgicall Treatises</i>

2018· article· en· W2810841335 on OpenAlexaff
Adam S. Komorowski, Sang Ik Song

Bibliographic record

VenueMedical Humanities · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicMedical History and Innovations
Canadian institutionsMcMaster UniversityHamilton General Hospital
Fundersnot available
KeywordsPoliticsPhilosophySociologyPsychoanalysisAestheticsLiteraturePsychologyArtLawPolitical science

Abstract

fetched live from OpenAlex

(1676), acts as a proto-case series which explores the treatment and cure of 91 patients with the King's-Evil. Working within the confines of the English monarch's ability to cure the disease with their miraculous (or thaumaturgic) touch, Wiseman simultaneously elevates and extends the potential to heal to biomedicine. Wiseman's work on the King's-Evil provides an interesting window through which the political expediency of the monarch's thaumaturgic touch may be explored. The dependence of the thaumaturgic touch on liturgy, theatricality and its inherent political economy in Restoration England allowed Wiseman to appropriate the traditionally monarchical role of healer as his own, by drawing attention to a medical ritual of healing that was as reliant, just as the theatrical ritual of monarchical thaumaturgy was, on symbolic binaries of healer-healed, head-body and touch-sight.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.017
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0120.024
Scholarly communication0.0050.003
Open science0.0000.003
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0030.000

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 head0.026
GPT teacher head0.232
Teacher spread0.206 · 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 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

Citations3
Published2018
Admission routes1
Has abstractyes

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