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Record W4417296215 · doi:10.21083/jnnhp.v1i.8058

Margaret Cavendish’s Feminine Utopias

2025· article· W4417296215 on OpenAlexaff
Allauren Samantha Forbes

Bibliographic record

VenueJournal for New Narratives in the History of Philosophy · 2025
Typearticle
Language
FieldArts and Humanities
TopicHistorical Philosophy and Science
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPatriarchySection (typography)IgnoranceUtopiaPleasureMoresPolitics

Abstract

fetched live from OpenAlex

Margaret Cavendish sets up feminine utopias in her plays Bell in Campo (1662), The Female Academy (1662), and The Convent of Pleasure (1668). In Bell in Campo, women build a ‘feminine army;’ in The Female Academy, a school for women scholars; and in The Convent of Pleasure, a utopia intended as a pleasurable escape from courtship and marriage. All three ultimately fall apart. This raises an interpretive puzzle: why does Cavendish keep setting up these feminine utopias only for each one to crumble in a spectacular fashion? While these works are iterations of Cavendish’s politics of gender, I want to suggest that they also illustrate her larger feminist social epistemological project. I argue that across these three frustrated feminine utopias, Cavendish develops an account and critique of an epistemic dimension of patriarchy, specifically, that patriarchy undermines women’s epistemic nature – it makes them unknown and unknowable, even to themselves, and their attempts to resist are cast as absurd, liminal things. Cavendish does so by highlighting practices of silencing and distorted speech, ignorance and knowledge, and being (un)known in gender-asymmetric ways. I also argue that Cavendish has a proposed solution: for Cavendish, women ought to become mermaids and hermaphrodites – at least, in a manner of speaking. To make my case, I will present the three plays in Section 2, highlighting Cavendish’s criticisms of the epistemic dimension of patriarchy and what I take to be revealed by the plays’ dramatic conclusions. Section 3 illustrates Cavendish’s formulation of the epistemic problem of patriarchy for women. Section 4 provides a brief reconstruction of Cavendish’s implied solution to this epistemic problem and responds a concern about its potential departure from nature. I close with some final thoughts in Section 5.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.706
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.077
GPT teacher head0.292
Teacher spread0.215 · 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.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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