Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".