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CYCLIZATION IN OLEKSA STEFANOVYCH’S POETRY

2022· article· en· W4210870638 on OpenAlexaboutno aff
Тетяна Рязанцева

Bibliographic record

VenueАкадемічний журнал Слово і Час · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicDiverse Scientific Research in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryLiteraturePlot (graphics)Subject (documents)Key (lock)Consistency (knowledge bases)ArtHistoryPhilosophyMathematicsComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

The article analyses the peculiarities of cyclization in Oleksa Stefanovych’s (1899—1970) poetry. Based on the theoretical definitions of a lyrical cycle (cycle of poems, sequence of poems) formulated in the works of Rolf Fieguth, Mikhail Darvin, Larisa Liapina, Ronald Vroon, Leonid Yanitskii, et al., the research outlines the main compositional, stylistic, thematic, and functional traits of Stefanovych’s lyrical cycles and demonstrates the evolution of certain key images in them. The material for analysis is taken from the collection of Stefanovych’s poetry published posthumously in Toronto (“Zibrani Tvory” / “Collected Works”, 1975).
 The special attention is paid to his apocalyptic cycle “Kintsesvitnie” (“The World’s End”) that demonstrates the whole complex of architectonic and stylistic features inherent to a cycle of poems, particularly the presence of the ‘cyclic subject’ defined by R. Fieguth as “the subject of all creative, especially compositional, acts which are the basis of this poetic cycle” [13, 19].
 The composition of “Kintsesvitnie” is based on the combination of the chronological and the plot development principles allowing to encompass Stefanovych’s creative work as a whole. The poems from various periods are selected and arranged so that they form a clear cyclic structure with steady imagery and a distinct thematic echo between its beginning and its end. Their dating reflects the consistency of the poet’s catastrophic worldview declared by the cycle’s title. It also demonstrates the evolution of its key metaphors (an evil bird, a thunderstorm, a trumpet) that arise in Stefanovych’s early works as visual or acoustic images and gradually evolve into the apocalyptic symbols of “Kintsesvitnie”.

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)0.002
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.507
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0540.003

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 head0.009
GPT teacher head0.232
Teacher spread0.223 · 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
GenreEmpirical

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
Published2022
Admission routes1
Has abstractyes

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