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Reading Science Fiction in Socialist Hungary

2023· article· en· W4389336207 on OpenAlexvenueno aff
Z.P. Nagy

Bibliographic record

VenueHungarian Studies Review · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicHungarian Social, Economic and Educational Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTopos theoryReading (process)Techno-thrillerLiteratureKey (lock)State (computer science)Fiction theoryClose readingPopular fictionLiterary fictionHistorySociologyPolitical scienceArtLiterary criticismLaw

Abstract

fetched live from OpenAlex

Abstract The article explores the emergence of science fiction as a genre in socialist Hungary. By focusing on the origins and role of the science fiction anthology Galaktika [Galaxy] and the book series Kozmosz Fantasztikus Könyvek [Cosmos fantastic books] and exploring the role of their editor, Péter Kuczka, the article argues that book publication from the mid- to late 1960s onward was much more elastic and variable than one would think. Readers’ growing interest in science fiction, and the commercial success of science fiction publications, convinced the state that it needed to accept science fiction as a legitimate literary genre. By examining the intellectual and cultural development that led to this legitimization and by analyzing some of the key publications and their themes and topoi, the article hopes to contribute to a better understanding of Hungarian socialist cultural policy.

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)0.006
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: none
Teacher disagreement score0.728
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.145
GPT teacher head0.440
Teacher spread0.295 · 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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