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Record W4311332634 · doi:10.1177/09677720221129856

Disease versus disease: Paolo Zacchia on syphilis and epilepsy

2022· article· en· W4311332634 on OpenAlexaff
Jacalyn Duffin, Daryn Lehoux

Bibliographic record

VenueJournal of Medical Biography · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Medicine Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsDiseaseEpilepsySyphilisMedicinePsychiatryInternal medicineVirologyHuman immunodeficiency virus (HIV)

Abstract

fetched live from OpenAlex

The lawyer and physician Paolo Zacchia (1584–1659) was the chief physician at the Vatican and an important advisor to the papal court. He is considered a founder of the field of forensic pathology, and the influence of his masterwork, Quaestiones medico-legales, spread throughout Europe. In this essay, we focus on one of Zacchia's consultations, first published posthumously in 1661. Emerging from a cause for beatification, the case features the intriguing medical notion of one disease curing another. Zacchia was to determine if a young man's recovery from epilepsy was miraculous or not. We will briefly review Zacchia's career, examine his argument and the sources on which he based his reasoning in this case, trace the status of the disease-versus-disease notion to the present, and demonstrate that this consultation represents a rare, if not the only example of syphilis being the curative agent – rather than the disease cured.

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: Other · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.013
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.251
Teacher spread0.224 · 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
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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