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Record W3121088514 · doi:10.7202/1073941ar

Max Liebermann: Assimilation and Belonging

2020· article· fr· W3121088514 on OpenAlexvenueno aff
Mitchell B. Frank

Bibliographic record

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

Abstract

fetched live from OpenAlex

En raison de la nature très publique de sa vie à l’époque de l’Empire allemand et de la République de Weimar, le peintre juif allemand Max Liebermann (1847–1935) a souvent été considéré comme un représentant exemplaire de l’assimilation juive à la vie culturelle allemande. Plutôt que de traiter Liebermann comme le représentant d’un groupe, cet essai explore la complexité de son expérience individuelle d’appartenance afin de suggérer que son sentiment d’être chez lui, même avant 1933, n’a jamais été complètement résolu. La maison berlinoise de Liebermann, située au coeur de la ville, est un motif central dans cette étude de son sentiment d’appartenance. Cet essai explore également sa position sociale, son sens du langage, la réception de sa peinture et sa pratique d’autoportraits. Souvent mis en scène dans l’atelier que Liebermann avait construit au-dessus de sa maison berlinoise, ses autoportraits engagent un dialogue de proximité et de distance qui est à la base de son sentiment d’être chez lui et au coeur de sa position de peintre moderniste et de juif allemand assimilé.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.993
Threshold uncertainty score0.038

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 studies0.0040.008
Scholarly communication0.0030.006
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.002

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 head0.025
GPT teacher head0.209
Teacher spread0.184 · 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
Published2020
Admission routes1
Has abstractyes

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