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Record W2403638449 · doi:10.1057/9780230245457_13

Monstrous Regiments of Women and Brides of Frankenstein: Gendered Body Politics in Scottish Female Gothic Fiction

2009· book-chapter· en· W2403638449 on OpenAlex

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 · 2009
Typebook-chapter
Languageen
FieldArts and Humanities
TopicFolklore, Mythology, and Literature Studies
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsMonsterResentmentPoliticsFeelingArtHistoryLiteraturePhilosophyLawPolitical science

Abstract

fetched live from OpenAlex

Feeling himself and his family increasingly persecuted by his creature three years after its creation, Victor Frankenstein agrees, after a lengthy and impassioned conversation during which the creature relates his tragic tale, to provide him with a female companion. Only in this manner, Victor rationalises, may he appease his resentful, homicidal monster and regain peace and normalcy. This incident notably coincides with Victor’s agreement, at his ageing father’s urging, to marry Elizabeth after completing a two-year European tour with his beloved friend, Henri Clerval.2 In order to ‘compose … [the] female monster’ (124) over the course of his tour, Frankenstein determines to retire to ‘one of the remotest of the Orkney [islands]’ in Scotland (136). Thus are the two ‘brides’ of Frankenstein inextricably connected in Mary Shelley’s compelling novel, a significant association in keeping with the Gothic’s longstanding engagement with anxieties relating to sexual desire and such key rites of passage as marriage and death. Thus, too, is Scotland represented as the domain of female monsters in this iconic Gothic work.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.915
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.020
GPT teacher head0.226
Teacher spread0.205 · 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