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Culture Wars as Property Struggles: The Hungarian Academy of Arts in Post-1989 Hungary

2023· article· en· W4389336226 on OpenAlexvenueno aff
Kristóf Nagy

Bibliographic record

VenueHungarian Studies Review · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicHungarian Social, Economic and Educational Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEliteAlliancePoliticsCultural propertyThe artsPolitical scienceProperty (philosophy)Political economySociologyLawCultural heritageEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

Abstract While property is a common analytical category in political economy, it is often omitted from cultural analysis. To bridge this gap, this article examines the Orbán regime’s cultural flagship institution, the Magyar Művészeti Akadémia [Hungarian Academy of Arts, HAA] from a property perspective. By putting the 1992‒2011 trajectory of the Academy under a spotlight, a rarely examined prehistory of the current Orbán regime comes to the fore. By deploying historical and social sciences literature alongside archival and interview-based primary research, it is here argued that the property perspective can transcend the “culture wars” explanations of postsocialist cultural polarization by highlighting the material roots of such conflicts. The case of the HAA serves to demonstrate that its cultural clashes were property struggles to obtain properties from the postsocialist state. In this quest, the Academy formed an uneven alliance with the national-protectionist elite bloc. By demonstrating how the HAA was bound to the competition of postsocialist elite blocs, its cyclical politicization can be best understood from the angle of the rapidly transforming property regime in post-1989 Hungary. In conclusion, the article proposes the postsocialist property regime of culture as a framework to analyze cultural and property clashes in tandem.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.391
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.150
GPT teacher head0.421
Teacher spread0.271 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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
Published2023
Admission routes1
Has abstractyes

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