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Record W2398673418 · doi:10.7202/1069621ar

From Flatness to Space and Back Again: Concepts of Representation in the Work of Gerhard Richter and Sigmar Polke

2020· article· fr· W2398673418 on OpenAlexvenueno aff
Julia Gelshorn

Bibliographic record

VenueRACAR Revue d art canadienne · 2020
Typearticle
Languagefr
FieldArts and Humanities
TopicVisual Culture and Art Theory
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtArt historyPainting

Abstract

fetched live from OpenAlex

Quand Sigmar Polke et Gerhard Richter entament leurs carrières dans les années 1960, l’histoire de l’art est encore régie par l’idée d’un progrès allant de l’art figuratif à l’art abstrait. Dans ce contexte, la représentation de l’espace par des dispositifs traditionnels n’est plus le sujet de l’art, puisque les peintres modernes ont réfléchi à la planéité de l’image en réduisant la peinture à ses éléments de base, soit la couleur et la forme. Les tableaux de Richter et Polke contredisent cette notion de progrès linéaire. Ils nient la dialectique de la « figuration » et de l’« abstraction », surtout les concepts compétitifs de « planéité » et d’« espace fictif ». Leur révision des différents styles, genres et éléments picturaux peut se comprendre comme une réflexion sur les implications sociales et politiques des concepts stylistiques, de même que sur le fardeau idéologique des formes représentationnelles. Un examen d’images exemplaires des modes de représentation privilégiées dans leurs oeuvres – les célèbres fenêtres, rideaux et peintures transparentes de même que d’autres dispositifs moins explicites – révèle que les deux artistes ont opté pour une position intermédiaire qui triomphe de la polarisation entre l’image comme fenêtre et l’image comme surface plane.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.012
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.038
Scholarly communication0.0120.011
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.035
GPT teacher head0.255
Teacher spread0.220 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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