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Record W1979003590 · doi:10.3138/md.52.2.168

Everything is Corrected: Corruption, Terror, Intelligentsia, and the State in Edvard Radzinsky's <i>Conversations with Socrates</i>

2009· article· en· W1979003590 on OpenAlexvenueno aff
Lance Gharavi

Bibliographic record

VenueModern Drama · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicSoviet and Russian History
Canadian institutionsnot available
Fundersnot available
KeywordsIntelligentsiaSOCRATESContext (archaeology)State (computer science)PortraitLanguage changeLiteratureHistorySociologyGender studiesPolitical scienceLawArtPoliticsArt historyArchaeology

Abstract

fetched live from OpenAlex

In this essay, I will examine two absences within the text of Edvard Radzinsky's Conversations with Socrates: the absence of a proper name for the First Disciple and the lack of any references to male same-sex desire. I argue that these absences are meaningful and interconnected features in the text that, in the context of Russian history, complicate Radzinsky's own cherished position as a gadfly of the state and deface his portrait of Socrates as an analogue for the heroic intelligentsia. Ultimately, I suggest that the absence of same-sex desire functions as a pathology, as a hidden metonym for the historic guilt of the Russian intelligentsia and its role in the excesses of the Soviet regime. Finally, I argue that such erasures are implicated in the geopolitical oppositions and gendered/sexualized national identities that inflected and constituted the Cold War.

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 score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.027
Scholarly communication0.0080.003
Open science0.0010.003
Research integrity0.0020.005
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 head0.012
GPT teacher head0.253
Teacher spread0.241 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

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