MétaCan
Menu
Back to cohort
Record W3036073168 · doi:10.3138/ecf.32.4.579

On the Edges of Gothic Parody: The Neglected Work of Mrs F.C. Patrick and Sarah Green

2020· article· en· W3036073168 on OpenAlexvenueno aff
Mercy Cannon

Bibliographic record

VenueEighteenth-Century Fiction · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsRomanceAmbivalenceSympathyLiteratureIntertextualityComicsCriticismArtOrder (exchange)IronyPlot (graphics)PhilosophyAestheticsPsychoanalysisPsychologySocial psychology

Abstract

fetched live from OpenAlex

This article examines two novels that parody popular, late eighteenth-century fiction: Mrs F.C. Patrick, More Ghosts! (1798) and Sarah Green, Romance Readers and Romance Writers (1810). Both texts embrace and resist elements of gothic romance through intertextuality and generic instability. These two novels are marked by dynamic ambivalence: the writers overtly disavow the gothic genre, yet fail to abandon gothic sympathies for a consistent parody. Dynamic ambivalence empowers the reader to take multiple, conflicting positions within and against the plot. Both authors warn readers that in order to strengthen one’s mind, one must be insensible to melodrama and resist romantic extravagances; nevertheless, each exposes this stance as a façade. Using comic elements to deflect criticism and satire to establish their moral vision, Patrick and Green aim to elicit sympathy for female characters, even when they are foolish, deceived, or debauched. More Ghosts! and Romance Readers offer a cultural critique, embedded in parody, which challenges the contradictions inherent in women’s position in that era.

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)0.000
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 score0.630
Threshold uncertainty score0.231

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.238
Teacher spread0.218 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueEighteenth-Century FictionSame topicGothic Literature and Media AnalysisFrench-language works237,207