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Record W2739515599 · doi:10.16995/sim.223

Antigone’s Legacy: A Feminist psychoanalytic of an Other Sexual Difference

2017· article· en· W2739515599 on OpenAlexaff
Sheila L. Cavanagh

Bibliographic record

VenueStudies in the Maternal · 2017
Typearticle
Languageen
FieldPsychology
TopicPsychoanalysis, Philosophy, and Politics
Canadian institutionsYork University
Fundersnot available
KeywordsPsychoanalytic theorySexual differencePsychoanalysisSociologyGender studiesPsychology

Abstract

fetched live from OpenAlex

Much has been written about Antigone who buried her brother Polynices in Theban soil despite the prohibition issued by King Creon (her uncle) in the Sophocles tragedy. In order to understand the magnitude of Antigone’s radical act in the play by the same name I engage the scholarship of Israeli feminist psychoanalytic scholar Bracha L. Ettinger. By engaging Ettinger’s theory of the Other (Feminine) Sexual Difference, I consider how ways of being in the Feminine tap into the matrixial domain, thus expanding the bounds of what counts as subjective experience in psychoanalysis. I situate Ettinger’s theory of the matrixial in relation to Lacan’s analysis of Antigone in The Ethics of Psychoanalysis (Seminar VII). I also focus on Julia Kristeva’s concept of ‘debinding’ (2010) and Judith Butler’s (2002) writing on gender and kinship disorder in the tragedy. My objective is to build upon Ettinger’s analysis of Antigone to better understand how it is not death, exactly, that is at stake in the drama, but rather the status of the Feminine dimension in the Theban city-state. If Antigone’s transgression can be understood through a matrixial lens it behooves us as feminist scholars to more fully understand the affective landscape and maternal ethics of difference enacted in the play.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.025
Scholarly communication0.0040.004
Open science0.0010.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.149
GPT teacher head0.451
Teacher spread0.302 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations7
Published2017
Admission routes1
Has abstractyes

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