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Record W2151250945 · doi:10.21992/t9z033

Carnality and Eroticism in the History of Russian Literature: Toward a Genealogy of a Discourse of Silence

2011· article· en· W2151250945 on OpenAlexvenueno aff
Alexei Lalo

Bibliographic record

VenueTranscUlturAl A Journal of Translation and Cultural Studies · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicFolklore, Mythology, and Literature Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSilenceEroticismHuman sexualityBurlesqueSexologyEmbodied cognitionLiteratureRussian cultureExoticismRussian literatureGender studiesHistorySociologyArtAestheticsPhilosophyEpistemology

Abstract

fetched live from OpenAlex

The essay explores traditions of expressing the body and sexuality in Russian culture and literature. The main strategy that many authors used was that of silence ignoring (“keeping silent about”) the topic altogether. Alternatively, others have adhered to burlesques, in which an author presents carnality and eroticism in a deliberately ludicrous, grotesque way. The essay defines three historical determinants for the “strategy of silence” and the “strategy of burlesque” marking the history of Russia's literary representation. The first is a set of profound differences between Western and Russian medical science, sexology and psychopathology. The second is a divide in perceptions of sexuality between Roman Catholic and Russian Orthodox traditions. The third is embodied in some of the earliest canonical representations of sexuality in literary history, including the Archpriest Avvakum’s Life (1682).

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)0.004
metaresearch head score (Gemma)0.005
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: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0080.045
Scholarly communication0.0070.006
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.131
GPT teacher head0.295
Teacher spread0.165 · 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
Published2011
Admission routes1
Has abstractyes

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