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Shkurupii, Geo (1903–1937)

2018· book-chapter· en· W4248479315 on OpenAlexaff
Oleh S. Ilnytzkyj

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEastern European Communism and Reforms
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFuturistLiteraturePoetryArtCultArt historyHistoryPhilosophy

Abstract

fetched live from OpenAlex

Ukrainian futurist poet and prose writer Shkurupii was a close collaborator of Mykhail Semenko, the founder of Ukrainian Futurism. He penned articles about Marinetti and the Art of Noises in 1922. He debuted as a Futurist poet (‘King of the Futurist Prairies’) that same year with a perplexing collection, Psykhetozy [Psychetosis], distinguished by eroticism, narcissism, neologisms, Dadaist elements, and typographic experiments. The poems were ironic, anti-aesthetic, focused on urban themes, speed, and machines. Opposed to the symbolist cult of the poet, Shkurupii’s later poems were topical, narrative and rhetorical in form; he blasted conservatism and philistinism, while showing enthusiasm for the new Soviet revolutionary order. In 1923 he also embraced prose. Determined to develop a mass readership, Shkurupii focused on plot, defamiliarisation, mystification and canonical popular genres like the detective story. His acute formalism sometimes turned to self-conscious, meta-artistic practices, characterised by commentary on literary conventions that he set out to undermine in his writings. His most controversial novel was Dveri v den’ [Gateway into Day] (1929), a mélange of literary and documentary forms for which Soviet literary critics condemned him. In 1930 he edited two issues of the futurist publication Avanhard-Al’manakh proletars’kykh myttsiv Novoi generatsii [Avant-Garde: Almanac of the Proletarian Artists of the New Generation]. Shkurupii was executed during the Stalinist terror in 1937.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.900
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0310.017

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 head0.042
GPT teacher head0.284
Teacher spread0.242 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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