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Record W7135643506

Volodymyr Vynnychenko's influence on Mykola Kulish's and Valerian Pidmohylnyj's writings

2009· dissertation· cs· W7135643506 on OpenAlexaboutno aff
Kateřina Vodvářková

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2009
Typedissertation
Languagecs
FieldSocial Sciences
TopicMilitary, Security, and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianPopularityPoliticsQuarter (Canadian coin)Theme (computing)World literature
DOInot available

Abstract

fetched live from OpenAlex

Volodymyr Vynnychenko entered the Ukrainian literature in 1900s. His first short story aroused general attention among reviewers and readers. No other Ukrainian writer of the first quarter of the 20th century gained such popularity and eminence as V. Vynnychenko. During his 50-year literary career the author has gone through an evolution: from early short stories to novels, dramas; and his final writings are marked by science fiction novels, detective genre, political and philosophical novels. His writings were published in plentiful amounts. He held this sovereign position in the Ukrainian literature almost until 1933. An extensive range of thematic and genre specifications of Vynnychenko's writings influenced a great number of Ukrainian writers (e.g. Mykola Kulish and Valerian Pidmohylny), who took up his life-work and elaborated Vynnychenko's methods in a special, unique way. In his plays M. Kulish reassumes various thematic aspects of Vynnychenko's works, for instance a motif of the "Ukrainianess", the formation of the Ukrainian people, the conflict between "Russianness" and the "Ukrainianess", the society formation. However, both authors show different ways of processing these themes. Vynnychenko's writings are dominated by the psychological aspect, whereas the most important feature of Kulish's plays...

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0030.001
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.277
Teacher spread0.267 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2009
Admission routes1
Has abstractyes

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