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Record W1513344375

The Making of the State Writer: Social and Aesthetic Origins of Soviet Literary Culture

2004· article· en· W1513344375 on OpenAlexvenueno aff
Елена Барабан

Bibliographic record

VenueCanadian Slavonic Papers · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicSoviet and Russian History
Canadian institutionsnot available
Fundersnot available
KeywordsIntelligentsiaIdeologyRealismState (computer science)Russian literatureLiteratureAestheticsMainstreamPoliticsSociologyHistoryLawPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

Evgeny Dobrenko. The Making of State Writer: Social and Aesthetic Origins of Soviet Literary Culture. Trans. Jesse Savage. Stanford: Stanford University Press, 2001. 512pp. $75.00, cloth.In his previous work on Socialist Realism, The Making of State Reader: Social and Aesthetic Contexts of Reception of Soviet Literature (Stanford, 1997), Evgeny Dobrenko showed how Soviet State made masses not only into consumers of Soviet mainstream literature but also into its creators. The Making of State Writer: Social and Aesthetic Origins of Soviet Literary Culture continues his study of literary process of and Soviet eras. He begins his investigation of social and aesthetic origins of Stalinist with question of why Soviet literature was occupied by graphomaniacs whose names were sometimes better known than their works. In posing this question, Dobrenko breaks away traditional interpretations of Soviet literature in ternis of social command (sotsial'nyi zakaz) and repression directed against those who did not want to toe Party line. He convincingly shows that Socialist Realism was as much a cultural revolution from below as from above: According to classical Stalinist definition, Soviet writers are 'engineers of human souls,' but they themselves are also product of social engineering (p. xviii). The Soviet reader contributed to creation of Socialist realist aesthetics by becoming Soviet writer (pp. xx-xxi).Dobrenko finds roots of Soviet ideological graphomania in attempts at creative writing by seventeenth- to nineteenth-century Russian serfs and workers. He shows how liberal intelligentsia of first half of 19th century promoted people (p. 5). Artistically inferior, this literature for village lackeys, as Belinskii described it (p. 11), was used to substantiate political agenda of intelligentsia. In second half of 19th century, raznochinets which Dobrenko situates between mass literature and high literature, developed themes that were later picked up by proletarian writers during Silver Age. These writers considered themselves followers of Nekrasov tradition in poetry (p. 71 ); in their works, they complained about the lot of poor and expressed masses' hatred for the rich ones (p. 69). After 1905 Revolution, hundreds of self-taught poets and writers of proletarian origin tried to emulate Gorky while making their way into politically engaged literature (p. 84). In decade preceding October Revolution, Pravda published poetry by autodidacts for propaganda purposes.With rise of Stalin, however, literature was increasingly used as a means of creating a dictatorial state. Dobrenko illuminates intricacies in development of Soviet literature to show how a new understanding of proletarian poetry was formed in 192Os and 193Os: Political which preserved an independent status for author (the absolute freedom of revolutionary culture) was separated Party-minded which no longer needed a poet who might challenge Party line. Dobrenko presents history of proletarian literature in 192Os as confrontation of political literature and Party-minded literature that was growing out of it. The Party-minded artist, a writer who condoned the absolute non-freedom ('necessity') of Soviet culture and became his own most severe censor (p. 102) appeared milieu of political poets and then replaced them. Dobrenko shows that same processes that shaped political and social life in country also defined development of literature. …

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)0.003
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 score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0110.023
Scholarly communication0.0110.006
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.255
Teacher spread0.244 · 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

Citations1
Published2004
Admission routes1
Has abstractyes

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