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Record W2022169741 · doi:10.3138/utq.83.3.739

Derrida at Villette: (An)aesthetic of Space

2014· article· en· W2022169741 on OpenAlexvenueno aff
Brendon Wocke

Bibliographic record

VenueUniversity of Toronto Quarterly · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicWalter Benjamin Studies Compilation
Canadian institutionsnot available
Fundersnot available
KeywordsSpace (punctuation)PaintingTRACE (psycholinguistics)Literal (mathematical logic)ArtArt historyAestheticsPhilosophyLiteratureLinguistics

Abstract

fetched live from OpenAlex

In the early 1980s, Jacques Derrida, together with Peter Eisenman, participated in the Paris Parc de La Villette project under the direction of head architect Bernard Tschumi. Tasked with the production of a “garden,” Derrida and Eisenman took their inspiration from the platonic concept of the khôra. Ultimately six times over budget, the Derrida/Eisenman garden was not included in the Parc de la Villette; the only record of the experiment being Chora L Works, a collection of transcripts and essays documenting the various meetings and exchanges between Eisenman, Tschumi, and Derrida. These exchanges, read together with Derrida’s broader consideration of the khôra (in particular) and of the trace (more generally), can be seen to form a dialogue on the aesthetics of space. But this is not mere architectural discussion or theory; Derrida’s implicit and explicit discussions of space imply a particular textual and typographic practice that implicates works such as Glas, The Post Card, and The Truth in Painting not to mention Chora L Works itself. Through the columns of Glas, framed by the borders of The Truth in Painting, the structural and literal holes of Chora L Works invite the consideration of the Derridean architextual practice – from the aesthetics of the textual space to the anesthetics of spatial text.

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)0.002
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 score0.091
Threshold uncertainty score0.181

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.023
Scholarly communication0.0080.004
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.012
GPT teacher head0.181
Teacher spread0.169 · 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

Citations3
Published2014
Admission routes1
Has abstractyes

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Same venueUniversity of Toronto QuarterlySame topicWalter Benjamin Studies CompilationFrench-language works237,207