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Record W2324863002 · doi:10.1386/host.4.1.21_1

A warning to England: Monstrous births, teratology and feminine power in Elizabethan broadside ballads

2013· article· en· W2324863002 on OpenAlexaboutno aff
Ross Hagen

Bibliographic record

VenueHorror Studies · 2013
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsBroadsideMonsterBalladLiteraturePower (physics)The RenaissanceParallelsFemininityHistoryArtSociologyGender studiesArt historyPoetry

Abstract

fetched live from OpenAlex

This article examines Elizabethan broadside ballads depicting ‘monstrous’ birth defects as expressions of societal unease concerning the rule of women in late sixteenth-century England. It deals particularly with a surge in these publications during the early reign of Elizabeth I. These one-page reports interpreted the birth defects as reflecting God’s disapproval of both individual and collective sins, and the authors urged the populace to repent. The essay explores the concept of the ‘prodigious’ monster in Renaissance thought, especially as a reflection of the feminine imagination, and its use in religious propaganda as a visible expression of divine wrath. Noting several parallels between the twentieth-century depictions of monstrous femininity and the treatment of birth in 1970s ‘body horror’ films such as The Brood (Cronenberg, Montréal 1979), the essay argues that the focus on birth in these ballads is reflective of tensions between the strict gender roles in wider society and questions of Elizabeth’s succession in sixteenth-century England.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0100.026
Scholarly communication0.0040.003
Open science0.0000.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.352
Teacher spread0.322 · 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 designQualitative
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
Published2013
Admission routes1
Has abstractyes

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