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Record W2920925644 · doi:10.1080/13556509.2019.1586070

Translating Lotman and Bakhtin from Russian into Spanish in Cuba: Desiderio Navarro’s work on critical thinking development

2018· article· en· W2920925644 on OpenAlexaff
Raúl Ernesto Colón Rodríguez

Bibliographic record

VenueThe Translator · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicRussian Literature and Bakhtin Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsWork (physics)SociologyPhysicsThermodynamics

Abstract

fetched live from OpenAlex

In post-1959 Cuba, Desiderio Navarro became an autodidact translator and actively participated in the process of social transformation. Capable of performing quality translations into Spanish from more than 15 languages, mostly from Eastern Europe, he has often been the first to translate and publish a solid corpus of East European texts in different fields of theory, from ‘orthodox and heterodox Marxism; Structuralism; Reception Theory; to the Postmodern Poststructuralism.’ Applying complexity thinking as main frame of reference, particularly the principle of organizational recursion, provides a context to explore the downward causative power of semiosis on reality. I intend to show in this article how the translation of Lotman and Bakhtin into Spanish by Navarro contributed and continue to develop the critical-thinking capabilities of several generations of Cuban intellectuals and artists. If development is a controversial concept, one even ‘doomed to extinction’, it is time to further problematize it.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.093
Threshold uncertainty score0.186

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.002
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 head0.026
GPT teacher head0.314
Teacher spread0.288 · 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
Published2018
Admission routes1
Has abstractyes

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