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Record W2499677823 · doi:10.1057/9780230522619_5

The Devil’s Curses: The Demonic Origin of Disease in the Sixteenth and Seventeenth Centuries

2005· book-chapter· en· W2499677823 on OpenAlex
Marianne Closson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2005
Typebook-chapter
Languageen
FieldArts and Humanities
TopicHistory of Medicine Studies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsWitchDemonSuspectFifteenthHistoryPower (physics)LiteratureArtAncient historyCriminologySociology

Abstract

fetched live from OpenAlex

The witch hunts at the beginning of the early modern era greatly broaden the question of the demonic origin of certain diseases as attested by the Bible, which at several points shows a demon capable of acting, by divine permission, on bodies and spirits. Until that time, beneficial or evil spells cast by witches on men or animals had a mysterious origin, and their effectiveness was not questioned. Beginning in the fifteenth century, these magical practices, which we find in all traditional societies, became extremely suspect: they could not but come from a pact with Satan; how else could the sorcerers provoke storms, kill people and animals, spread disease? The proliferation of Satan’s henchmen thus represents an immense threat. Vying in evil, during the sabbath sorcerers prepare powders and unguents and receive the power to make the one they designate as their victim fall violently ill by a single gesture or word. They are also able to send demons into the bodies of the possessed. All direct contact with them — true agents of contagion — runs the risk of bewitchment.

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.966
Threshold uncertainty score1.000

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 studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.236
Teacher spread0.210 · 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