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Record W2585662108

‘Integrating the Story into the Grand Landscape of South Africa': Contested Spaces of Sexualized Interracial Terror in J.M. Coetzee’s Disgrace and its Film Adaptation

2016· article· en· W2585662108 on OpenAlexvenueno aff
Karin Ikas, Frankfurt Am Main

Bibliographic record

VenuePostcolonial text · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSouth African History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsAssertionNarrativeLesbianSociologySpace (punctuation)Adaptation (eye)AestheticsGender studiesWhite (mutation)PsychologyArtLiteraturePhilosophyComputer science
DOInot available

Abstract

fetched live from OpenAlex

This essay examines the narrative and visual potential of physical space and the aesthetic transformation of the real South African topography into a fictitious one against the backdrop of interracial violence and two atrocious rapes in a comparative analysis of J.M. Coetzee’s novel Disgrace and Steve Jacobs's highly controversial film adaptation. It draws, among others, on the theories of Julia Kristeva and Winfried Menninghaus to illustrate how the white protagonist David, who is both a perpetrator and a victim of violence, is coded as an abject whereas his multiply-raped lesbian farm-owning daughter Lucy resorts to gendered tactics of self-determination and spatial self-assertion to turn from a victim into a survivor. To capture the latter conceptually, the notion of a ‘tactical spatial lesbian resilience’ is introduced.

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)0.003
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: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.018
Scholarly communication0.0050.005
Open science0.0010.004
Research integrity0.0020.004
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 head0.026
GPT teacher head0.279
Teacher spread0.253 · 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
Published2016
Admission routes1
Has abstractyes

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