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Record W1990359323 · doi:10.3138/md.55.2.230

Subversion, Refusal, and Contingency: The Transgression of Liberal-Humanist Subjectivity and Characterization in Sarah Kane’s <i>Cleansed, Crave,</i> and <i>4.48 Psychosis</i>

2012· article· en· W1990359323 on OpenAlexvenueno aff
Cristina Delgado-García

Bibliographic record

VenueModern Drama · 2012
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsnot available
Fundersnot available
KeywordsHumanismSubjectivitySociologyQueerPsychoanalysisNormativeSubversionIdeologyAestheticsPhilosophyEpistemologyGender studiesPoliticsPsychologyTheologyLawPolitical science

Abstract

fetched live from OpenAlex

Abstract: Drawing on Judith Butler’s writings on performativity, this article investigates the critique of the liberal-humanist understanding of selfhood offered in Sarah Kane’s last three plays. It argues that Cleansed subversively deploys conventional dramatic character to disfigure the subject as it is understood by liberal humanism. The motif of the wound activates this subversive characterization, with the supposed self-sameness or coherence of selfhood being dismembered on the page. Subjectivity emerges in this playtext as discursively produced, defined by the body, and processual. Conversely, Crave and 4.48 Psychosis reject the terms through which such liberal-humanist subjectivity is represented. Through uncountable and opaque characters, subjectivity is formulated as queer, foreclosing the equation of body morphology with the sense of the self and dismantling fixed and unified notions of identity. Finally, the article interrogates to what extent the staging of the plays inevitably reproduces stable characters and normative subjectivities. Desire and recognition are considered here as key to maintaining the plays’ critique of liberal humanism.

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 score0.138
Threshold uncertainty score0.498

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 head0.017
GPT teacher head0.263
Teacher spread0.246 · 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

Citations4
Published2012
Admission routes1
Has abstractyes

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