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‘To oppose to those deceived deceivers.’ On the nature of evil in the Jacobean play The Witch of Edmonton

2025· article· W4416110210 on OpenAlexaboutno aff
Natalia Zelezinskaya

Bibliographic record

VenueVoprosy literatury · 2025
Typearticle
Language
FieldArts and Humanities
TopicReformation and Early Modern Christianity
Canadian institutionsnot available
Fundersnot available
KeywordsWitchAmbivalenceEquivocationTragedy (event)Identification (biology)Perception

Abstract

fetched live from OpenAlex

With the example of The Witch of Edmonton, a play written by T. Dekker, J. Ford, and W. Rowley in 1621, the article considers the perception of the nature of evil in early modern history. This religious domestic tragedy comprises two plotlines that, while sharing common motifs, receive contrasting resolutions and show, therefore, that the Devil’s triumph is always conditional of the individual’s complicity. Unlike the witch-themed pamphlets of the day, the dramatists portray unbearable living conditions suffered by certain social groups, patriarchy, and economic leverages as the true drivers of crime. The study aims to identify how the play succeeds in combining various answers to the question about the nature of evil. To do so, the author analyzes the variance of motifs, the ambivalence of the canine familiar, and equivocation as a literary device that actualizes the motif of deception. The article demonstrates the link between the problems of the play and Hobbes’ theory of social-political determination. It also dwells on the ideas that dictate the semantic structure of Jacobean demonology: man’s identification with the Devil, original sin, the corrupted nature of humanity, the perception of difference as strange and unfamiliar, and free will.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.835
Threshold uncertainty score0.803

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.266
Teacher spread0.248 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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