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Record W4393854396 · doi:10.11647/obp.0340.37

Pale Fire of the Revolution

2024· book-chapter· en· W4393854396 on OpenAlexaff
Anastasia Belousova, Santiago E. Méndez

Bibliographic record

VenueOpen Book Publishers · 2024
Typebook-chapter
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsUniversity of Toronto
FundersEuropean Research CouncilLomonosov Moscow State UniversityRussian Science FoundationModerna
KeywordsGarciaLatin AmericansGlobalizationRussian cultureRussian literatureTransculturationPolitical scienceEconomic historyHistoryHumanitiesLiteratureArtLaw

Abstract

fetched live from OpenAlex

This chapter aims to explore the failed intercultural dialogue between Russian and Colombian literature, identifying the factors that contributed to its failure. While Russian literature had a considerable presence in Latin America, it aroused little interest among Colombian translators and writers until the last decades of the twentieth century. The lack of an adequate social environment, both formal and informal, resulting from the specificity of the Colombian cultural situation and the country’s unique relationship with Russia during the Cold War, was a major factor in this superficial reception of Russian literature in Colombia. However, the Soviet international educational project and generalized processes of globalization gradually increased direct engagement with Russian literature, including the number of translations. The chapter offers a first outline of the history of translation and reception of Russian literature in Colombia. It reviews the cultural situation in Colombia and analyzes examples of Russian literature’s reception in the twentieth century (Ramón Vinyes, Los Nuevos group, Luis Tejada, León de Greiff, and Gabriel García Márquez); it also summarizes the history of the Colombian-Soviet Cultural Institute, its publications and related cultural activities, and examines the work of Colombian translators of Russian 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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.483
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0020.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0210.000

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 head0.060
GPT teacher head0.256
Teacher spread0.196 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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