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Record W4321606714 · doi:10.31542/muse.v6i1.2284

Tarrying with Trauma While Improvising Gender in Who Do You Think You Are?

2023· article· en· W4321606714 on OpenAlexaffvenueabout
Brianna Sorensen

Bibliographic record

VenueMacEwan University Student eJournal · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsMacEwan University
Fundersnot available
KeywordsShameHumiliationSociologyFeelingCrueltyGender studiesSubtextPsychologyPsychoanalysisAestheticsSocial psychologyArtCriminologyLiterature

Abstract

fetched live from OpenAlex

Alice Munro’s 1978 collection of linked stories, Who Do You Think You Are? enacts what Lorraine York calls Munro’s theory of fiction as “tarrying with difficult emotions and knowledges.” Judith Butler’s seminal 1988 theory of gender performativity postulated that improvising gender incurs obvious and covert social punishments, but that performing gender includes the possibility of innovation. Rose, the protagonist, succumbs to and contests norms imposed on women in the southwestern Ontario township of Huron County during the 1940s to 1970s. This thesis explores Rose surviving punitive social conventions in her cultural context which are contiguous with trauma. For Rose, failure to conform is what Jack Halberstam defines as “queer failure”: it is a triumph of personal authenticity over gender essentialism and an acceptance of human imperfection. In the journey towards self-knowledge, Rose’s surviving trauma and defying gender scripts cause the “sticky affects” of shame and humiliation identified by Amelia DeFalco; the feeling that women are not afforded hope; and, in stressful situations, emotional dissociation and emotional economies, as identified by DeFalco and York. Rose’s marriage fails because of a sadomasochistic power struggle. Rose tarries with disconnection from others and from self; however, she innovates gender and subverts the intergenerational cycle of victimvictimizer by achieving a sense of community and strengthening personal authenticity, which Margaret Atwood says is, for “Munro’s women,” “an essential element, like air.”

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 score0.663
Threshold uncertainty score0.860

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 studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
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 head0.024
GPT teacher head0.229
Teacher spread0.204 · 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

Citations0
Published2023
Admission routes3
Has abstractyes

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