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Record W3098779817 · doi:10.29173/connections13

Scrambling Sex and Gender with Rachilde

2020· article· en· W3098779817 on OpenAlexvenueno aff
Alexandra Pugh

Bibliographic record

VenueConnections A Journal of Language Media and Culture · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicFrench Historical and Cultural Studies
Canadian institutionsnot available
FundersUniversity of Oxford
KeywordsQueerQueer theoryGender studiesPerformativityContext (archaeology)SociologyPoliticsHistoryPolitical scienceLaw

Abstract

fetched live from OpenAlex

Taking Monsieur Vénus (1884) as its focus, this article expands upon the limited critical discourse connecting the work of Rachilde (1860-1953) to queer theory. Monsieur Vénus and queer theory are mutually illuminative: Butler’s theory of performativity allows us to interpret the unstable bodies in Rachilde’s text, while Monsieur Vénus in turn elucidates, or at least exemplifies, some of the questions at the heart of queer studies. For example: can sex exceed the human body? Can a transgender person live a heteronormative life? What is the relationship between queerness and reproduction? In asking such questions, this article grounds a piece of Decadent, fin-de-siècle French literature in the context of queer, feminist and trans studies, and thereby maps the connections between Rachilde’s work and these contemporary cultural conversations. As the author of Pourquoi je ne suis pas féministe (1928), Rachilde rejected progressive social movements. I therefore borrow Lisa Downing’s notion of the ‘proto-queer’ (Downing, ‘Notes on Rachilde’ 16) to guard against the complete recuperation of Rachilde into the queer canon. Regardless of its author’s positionality, however, I am seeking to frame Monsieur Vénus as part of our queer literary heritage. Monsieur Vénus is more playful and provocative than it is political, but Rachilde succeeds in ‘scrambling’ sex and gender in that the two categories become muddled, unfixed and denaturalized.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.726
Threshold uncertainty score0.328

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 head0.037
GPT teacher head0.218
Teacher spread0.181 · 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 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

Citations1
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueConnections A Journal of Language Media and CultureSame topicFrench Historical and Cultural StudiesFrench-language works237,207