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Record W4392511165 · doi:10.35360/njes774

Vile Vapours

2022· article· en· W4392511165 on OpenAlexaboutno aff
Eric Pudney

Bibliographic record

VenueNordic Journal of English Studies · 2022
Typearticle
Languageen
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWitchDamnationAddictionPhenomenonPsychoanalysisHistoryPsychologyEnvironmental ethicsLiteratureArtPhilosophyEpistemologyNeuroscienceEcologyBiology

Abstract

fetched live from OpenAlex

The Witch of Edmonton has frequently been read as a play which exposes the social problems that led to witchcraft accusations in early modern society. This article examines another aspect of the play which has not yet been adequately discussed by literary scholars: the role of physiology, and especially the role of human blood, in the play’s representation of witchcraft and the devil’s manipulation of human beings. In the world of the play, the devil’s ability to influence people by exercising control over the blood and its various constituents is a vital tool in his seduction of the witch, Elizabeth Sawyer. It is instrumental in her ultimate damnation, changing her both physically and temperamentally over the course of the play so that she ends up beyond salvation. The play subtly reveals the physiological roots of demonic influence and presents a new way of understanding the ‘blood pact’ made between witch and devil, representing witchcraft as a form of addiction that resembles a widespread but controversial present-day idea about drug abuse as a medical and a moral phenomenon, the brain disease model of addiction (BDMA).

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)0.004
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.068
Threshold uncertainty score0.228

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0100.005
Scholarly communication0.0050.004
Open science0.0010.004
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0680.015

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 head0.056
GPT teacher head0.374
Teacher spread0.318 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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