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Record W2998855120 · doi:10.3138/ecf.32.2.245

Fictions of Obligation: Contract and Romance in Margaret Cavendish and Aphra Behn

2019· article· en· W2998855120 on OpenAlexvenueno aff
Eun Kyung Min

Bibliographic record

VenueEighteenth-Century Fiction · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsAphraObligationRomancePoliticsSubject (documents)LiteratureLawHistoryPolitical scienceArtComputer science

Abstract

fetched live from OpenAlex

This essay reads the short romances of Margaret Cavendish and Aphra Behn as complex responses to contract-based theories of obligation and the model of the political subject who enters into relationships of willing submission. Cavendish and Behn take up the subject of women’s contracts and obligations within the generic constraints of romance, but their romances belie the fiction of women freely and happily contracting with their romance heroes. Far from instancing willing submission, Cavendish’s heroines actively engage with law and go to war to subdue men who prove bad contractors and to model new forms of obligation. Behn’s romances, in contrast, teem with women who are bad contractors and whose flagrant violations of propriety and conjugality pose a sardonic challenge to conventional definitions of women’s obligations. Together, their works trouble the fiction of the willingly bound woman and attest to the diminishing power of romance to model women’s obligations in a time of continuing political crisis.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.351
Threshold uncertainty score0.313

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.008
GPT teacher head0.235
Teacher spread0.227 · 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 designObservational
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
Published2019
Admission routes1
Has abstractyes

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