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Record W2954292775 · doi:10.24908/iqurcp.13360

The Allegiance of Vladislav Felitisianovich

2019· article· en· W2954292775 on OpenAlexaffvenue
Henry Y. Jeong

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsÉmigréTributeArt historyLiteratureHistoryClassicsArtLawPolitical science

Abstract

fetched live from OpenAlex

The purpose of this presentation is to examine how Vladislav Khodasevich establishes his cosmopolitan position on the future of Russian Emigre literature in his final work Nekropol (1939). I aim to focus particularly on how his internal display of Jewishness in Nekropol serves as a critical mode to understand his cosmopolitan views towards art creation. Khodasevich, in his homage to his closest literary companions Samuil Kissin (Muni) and Mikhail Gershenzon, firmly demonstrates how Khodasevich’s cosmopolitan, rigorous views towards art creation were established through his Inorodtsy as a Polish Jew in Moscow, the use of Muni’s tragic death as a form of art creation through his use of trauma, and his tribute to universally-loved Gershenzon in instiling Khodasevich the necessity of artistic philosophies and public involvement in literary survival. With the combination of the factors above, Khodasevich’s views on artistic creation are completed during his emigre years, having his positive, rigorous approach to the future of Russian Emigre literature beyond its Oblomovism-like state during 1930s France. By allowing his readers an under-the-depth understanding of factors that developed Khodasevich’s cosmopolitan stances in Nekropol, Khodasevich’s tribute demonstrates the importance of linking the world of historical fields within Slavic studies, allowing a multidimensional understanding of both Jewish history and Russian literature in both Silver Age and under emigration.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.551
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.092
GPT teacher head0.387
Teacher spread0.295 · 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.

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

Citations0
Published2019
Admission routes2
Has abstractyes

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