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Record W2799790531 · doi:10.1080/15240657.2018.1456019

Under Erasure: William Kentridge, Derrida, and Post-Apartheid South Africa

2018· article· en· W2799790531 on OpenAlexaff
Natalie Haziza

Bibliographic record

VenueStudies in Gender and Sexuality · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicArt, Politics, and Modernism
Canadian institutionsLa Cité Collégiale
FundersKrell Institute
KeywordsTRACE (psycholinguistics)ExistentialismAestheticsPoliticsWitnessAnimationImpossibilityIdentity (music)ArtHistoryPhilosophyVisual artsEpistemologyLawPolitical science

Abstract

fetched live from OpenAlex

This article aims to read the work of South African artist William Kentridge through the prism of Jacques Derrida’s notion of trace. Kentridge utilizes a unique style of filmic animation: charcoal pictures drawn on a single piece of paper, where the animation is achieved by erasing and re-drawing parts of the picture, and then filming the image again. I will argue that this technique, as well as Kentridge’s focus on deferral, memory, and identity, share an affinity with the philosophical, aesthetic, ethical, and political aspects of Derrida’s trace. Drawing attention to the trace—a paradox of presence, where motion is achieved precisely by the deferred nonpresence in each drawing—Kentridge acknowledges, in a similar way to Derrida, the impossibility of ontological thought and knowing. In post-apartheid South Africa, this is not only an aesthetic statement but a political one as well. By maintaining the traces, Kentridge concedes that knowing should be deferred, acknowledging that what we know about the other is limited, if not impossible, and that the apartheid regime’s attempt to master the other was violent and erroneous.

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 score0.541
Threshold uncertainty score0.701

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 studies0.0010.002
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 head0.205
GPT teacher head0.342
Teacher spread0.138 · 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

Citations6
Published2018
Admission routes1
Has abstractyes

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