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Record W2774018780 · doi:10.21900/j.vivliofika.v5.583

Неизвестные стихотворения Василия Рубана

2017· article· en· W2774018780 on OpenAlexaff
Alex Averbuch

Bibliographic record

VenueВИВЛIОθИКА E-Journal of Eighteenth-Century Russian Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Linguistics and Anthropology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPoetryExtant taxonEveryday lifeLiteratureAestheticsArtPsychologySociologyPhilosophyEpistemology

Abstract

fetched live from OpenAlex

This paper discusses unknown poems of Vasilii Ruban written in the last three years of his life. These texts exemplify the so-called “poetry of the mundane” (bytovaia poeziia), dealing with the author’s everyday affairs. This study seeks to tie together the commodified, communicative, and aesthetic aspects of the mundane in Ruban’s poetry. The author proposes shifting the emphasis from these texts’ literary merits to the circumstances of their creation and their immediate function. They were not written for posterity, nor to exceed the boundaries of local interest. Ruban’s patrons were the real implicit readers of his poems; they understood his communicative strategy and accepted it as such. This poetry thus constitutes a remarkable source of information about the social and private life of Ruban’s patrons and the connections between them. Analyzing patrons’ relationships with the poet and responses to his requests, the article contextualizes Ruban’s poetry of the mundane within communicative conventions extant at the time.

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)0.004
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: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.005
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.004

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.

Opus teacher head0.100
GPT teacher head0.452
Teacher spread0.352 · 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
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
Published2017
Admission routes1
Has abstractyes

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