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Probing Systems: Art in Early 1970s Hungary

2021· article· en· W3217764248 on OpenAlexvenueno aff
Esther T. Thyssen

Bibliographic record

VenueHungarian Studies Review · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Political Studies
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionContext (archaeology)CensorshipPoliticsScholarshipState (computer science)Contemporary artModernism (music)Materiality (auditing)Visual artsArtPolitical scienceSociologyAestheticsHistoryArt historyLaw

Abstract

fetched live from OpenAlex

Abstract Artworks in a range of media show how the postwar generation created a unique voice, symptomatic for Hungary under state socialism, while disordering the boundaries imposed by the Tiltott, Tűrt, Támogatott [Banned, tolerated, promoted] system. Artists in Hungary found ways to move forward despite the challenges presented by socialist policies, censorship, punishment, and financial precarity. Their resources included state-provided art education, day jobs, and travel; unofficial mentors; and private exhibition venues and ingenious use of public spaces. Absorbing the importance of constructivism and abstraction from the historical avant-garde, the younger artists embraced geometric abstraction as the concept of the origin of postwar art. Once they internalized the system of abstraction, they could exchange its elements (the square, the cube, the line) for visual idioms from folk art, political symbols, and nature itself. Artists Imre Bak, Gábor Attalai, and the Pécs Workshop represent this cultural legacy. Scholarship on the art of the early 1970s predominantly follows the markers artists had set for themselves—to emphasize the artistic interchange with the West—but in the current context of reframing global modernism, the systems of visual languages in Hungary deserve attention.

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)0.001
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 score0.019
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0030.011
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.100
GPT teacher head0.363
Teacher spread0.263 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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