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Record W3005568217 · doi:10.7202/1066724ar

Painterly Thought: Max Liebermann and the Idea in Art

2020· article· fr· W3005568217 on OpenAlexafffundvenue
Mitchell B. Frank

Bibliographic record

VenueRACAR Revue d art canadienne · 2020
Typearticle
Languagefr
FieldArts and Humanities
TopicGerman Literature and Culture Studies
Canadian institutionsCarleton University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

Max Liebermann est surtout connu comme peintre naturaliste/impressionniste. Il était également un écrivain passionné : Die Phantasie in der Malerei (L’Imagination dans la peinture) est l’expression la plus développée de sa théorie de l’art. Au tournant du XXe siècle, les écrits allemands sur l’art ont souvent opposé le naturalisme français à l’idéalisme allemand. Liebermann tente de concilier ces oppositions en proposant une théorie de l’art qui rejette ce qu’il considère comme des catégories absolues, telles que le naturalisme et l’idéalisme, et les remplace par ce qu’il estime être des termes relationnels, tels naïf et sentimental (découlant de Schiller). Cet essai discute du rapport de la théorie de l’art de Liebermann à sa pratique à travers une analyse de son tableau L’Atelier (1902) et de la relation de celui-ci avec Las Meninas de Velázquez. De même que la théorie d’Erwin Panofsky sur l’Idée dans l’art et l’analyse de la théorie de l’argent de Georg Simmel, la théorie de l’art de Liebermann s’articule sur le rapport entre la distance et la présence. L’enjeu pour ces écrivains est la compréhension du relationnel comme une caractéristique fondamentale de la subjectivité moderne.

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 score0.008
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.017
Scholarly communication0.0050.008
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.011
GPT teacher head0.178
Teacher spread0.167 · 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

Citations12
Published2020
Admission routes3
Has abstractyes

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