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Record W4318830831 · doi:10.3828/jlcds.2023.6

(De)territorializing Madness

2023· article· en· W4318830831 on OpenAlexaff
Evan D. Wicklund

Bibliographic record

VenueJournal of Literary & Cultural Disability Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicFoucault, Power, and Ethics
Canadian institutionsCarleton University
Fundersnot available
KeywordsArtPsychoanalysisPsychology

Abstract

fetched live from OpenAlex

Throughout the twentieth century, the traditional South Korean folktale “Janghwa Hongryeon jeon” (The Story of Janghwa and Hongryeon) has been reiterated and reinterpreted in several textual narratives and filmic adaptations (Kim Kyu Hyun; Leung 173). The article examines two recent film reimaginings of this story—Kim Jee-woon’s 2002 South Korean A Tale of Two Sisters, and The Guard Brothers’ 2009 American remake, The Uninvited. Using poststructuralist and feminist disability theory, the argument is that Su-mi in Sisters and Anna in Uninvited are both subjected to the biopolitical apparatuses of control imposed by the societal norms of compulsory able-bodiedness (McRuer 8). Su-mi and Anna seek deterritorialization from the diagnosis of mental illness by engaging in creative acts of multiplicity, or what Gilles Deleuze describes as becoming-other (44). Anna uses her hybridity to engage in transgressive acts which paradoxically stabilize the social order of the nuclear family. Although Anna’s madness challenges the stability of normativity, her actions demonstrate that protecting the symbolic heteronormativity of the family trumps her emancipation. Conversely, Su-mi deterritorializes from subservience and resists the medicalization of her mind and body. Su-mi lacks the ethical response from those around her and thus fails to receive the care she requires. The lack of recognition or care from others ultimately leads to her re-institutionalization and the perpetuation of surveillance.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0040.016
Scholarly communication0.0040.003
Open science0.0000.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.165
GPT teacher head0.480
Teacher spread0.315 · 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 designNot applicable
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 routes1
Has abstractyes

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