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Zabolotsky, Nikolai Alexeevich (1903–1958)

2018· book-chapter· en· W4253046551 on OpenAlexaff
Kristina Syvarth

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEuropean Cultural and National Identity
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAbsurdismPoetryEPICSt petersburgArtHistoryArt historyLiteratureClassicsArchaeology

Abstract

fetched live from OpenAlex

Nikolai Alexeevich Zabolotsky was a Russian poet and translator, and a member of the avant-garde absurdist group Oberiu (a modified acronym for Obedinenie Realnogo Iskusstva [Association for Real Art]). He was born in Kizicheskaya Sloboda on 7 May 1903, and died in Moscow on 14 October 1958. Zabolotsky is best known for his work with the late avant-garde, alongside Daniil Kharms and Alexander Vvedensky in their absurdist group, Oberiu. In 1920 Zabolotsky moved away from his family in Urzhum to Moscow to study medicine and philology at Moscow University. Only a year later he moved to Petrograd (now St Petersburg) and enrolled in the Pedagogical Institute of St Petersburg State University. After graduating in 1925, Zabolotsky met Kharms and Vvedensky at a poetry reading and in 1928 they formed Oberiu, a group that gained notoriety for their nonsensical verse and absurdist theatrical productions. By 1931 Oberiu’s activity began to decline under the pressure of the Stalinist purges and the officially sanctioned Socialist Realism. In 1938 Zabolotsky was arrested in one of Stalin’s purges for his anti-Leninist philosophic views and sent to Siberia. He spent much of his time in Siberia working on his translation of the Kievian Rus’ epic, The Lay of Igor’s Host. Twelve years later he was released, and he moved to Moscow where he spent the remainder of his life writing translations and poetry.

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 score0.739
Threshold uncertainty score0.980

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0410.021

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 head0.050
GPT teacher head0.305
Teacher spread0.256 · 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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