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Record W2346308547 · doi:10.1163/23752122-01601010

On Early Russian Reception of Mikhail Bakhtin’s Work

2015· article· en· W2346308547 on OpenAlexaboutno aff
Natalia M. Dolgorukova

Bibliographic record

VenueThe Dostoevsky Journal · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicRussian Literature and Bakhtin Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSubject (documents)Slavic languagesReception theoryLiteratureConversationPeriod (music)Soviet unionHistoryClassicsPhilosophyArtLawAestheticsPoliticsLinguistics

Abstract

fetched live from OpenAlex

“The whole history of Russian thought during the Soviet period was a history with missing chapters”.1 One of such missing chapters is a history of the Soviet reception of the corpus of work created by Mikhail M. Bakhtin, Soviet thinker and literary critic (1895—1975). The history of the Soviet reception of Bakhtin’s ideas has not been written yet and there are no works on the subject. There is Zbinden’s book,2 which deals with research about some particular cases of Bakhtin studies in Canada and in French translations. Despite the fact that in the 1960–1980s the «theory of carnival» became, in the words of S.S. Averintsev, a «regular classic» and the subject of citation for any specialists in the humanities, the reception of Bakhtin’s ideas in the Soviet Union was not successful: all of his contemporaries and conversation partners could not come into proper contact with the Soviet thinker. The present working paper is an attempt to reconstruct one case from the history of the Soviet reception of Bakhtin’s heritage, using the works of Vladimir N. Turbin (1927—1993) as an example. The study examines Turbin’s books A Short While Before Aquarius: A Farewell to Epos and his articles from different years (including those published posthumously), relating to Bakhtin, his life, theories, ideas and books. All these works will answer the question why the Soviet reception of Bakhtinʼs heritage in the 1960–1970 did not take place, and why the book, which Turbin wanted to write about his teacher, has not been written.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.454
Threshold uncertainty score0.525

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.043
GPT teacher head0.310
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 teacher head, 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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueThe Dostoevsky JournalSame topicRussian Literature and Bakhtin StudiesFrench-language works237,207