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Record W4380481993 · doi:10.6000/1929-4409.2020.09.321

Genre Strategy of Modern Russian-Language Poetry in Kazakhstan

2022· article· en· W4380481993 on OpenAlexvenueno aff
Angelina Airatovna Khaybullina, Elvira F. Nagumanova, Kadisha R. Nurgali

Bibliographic record

VenueInternational Journal of Criminology and Sociology · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCultural, Linguistic, Economic Studies
Canadian institutionsnot available
FundersKazan Federal University
KeywordsPoetryLiteraturePoeticsKazakhModern GreekLiterary languageRussian literatureHistoryArtPhilosophyLinguisticsClassics

Abstract

fetched live from OpenAlex

At the end of the 20th century, the poetry of Kazakhstan made a great stride forward, which can be compared with the ideas of the cultural revolution. Unlike Russian poetry being changed throughout the 20th century, Kazakh poetry has made a breakthrough in its development only for the last two decades, allowing it to fit the conventions of modern world poetry. The present article aims at revealing the features of the functioning of the Russian-language poetry of Kazakhstan at the end of the 20th – the beginning of the 21st century. The authors of the article define those changes that have occurred in the genre strategy of modern poetry in Kazakhstan. The genre canon is generally accepted as one of the essential manifestations of the dialogue between different texts, being a kind of recognizable quote; simultaneously, it is deformed in the works by poets of the beginning of the 21st century. The transformation of genre traditions and canons engenders a unique phenomenon in modern poetry of Kazakhstan – "the poetry of philosophers." The poets such as Sergei Kolchigin, Indira Zaripova, Zhanat Baimukhametov tend to be attributed to this category. Also, modern Russian-language poetry is distinguished by the aspiration for collecting incredibly lyrical emotion and the same "extreme" interest in extra-literary events within the boundaries of one text. All these features bespeak the formation of another poetics in modern literature of Kazakhstan.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.169
Threshold uncertainty score0.393

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.079
GPT teacher head0.373
Teacher spread0.294 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations10
Published2022
Admission routes1
Has abstractyes

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