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Record W7117390023

<Article>Reminiscence of the Poems of G. R. Derzhavin and A. N. Radishchev in A. S. Pushkin's “The Bronze Horseman”

2022· other· ru· W7117390023 on OpenAlexaboutno aff
Юри СУГИНО

Bibliographic record

VenueKyoto University Research Information Repository (Kyoto University) · 2022
Typeother
Languageru
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsBronzePoetryStyle (visual arts)
DOInot available

Abstract

fetched live from OpenAlex

В основе данной работы лежат наши доклады прежних лет.: доклад под заглавием “Державинские реминисценции в поэме Пушкина «Медный всадник»”, прочитанный на Международных научных чтениях памяти В. Э. Вацуро к 85-летию со дня рождения (30 ноября - 2 декабря 2020 г., Санкт- Петербург), и доклад под заглавием “Reminiscence of the Poems of Derzhavin and Radishchev in Pushkin's The Bronze Horseman (10th World Congress of ICCEES, held at Concordia University in Montréal, Canada from August 3rd-9th 2021).

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.667
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.008
Science and technology studies0.0020.005
Scholarly communication0.0000.003
Open science0.0050.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.021
GPT teacher head0.239
Teacher spread0.218 · 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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