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Record W4205574552 · doi:10.30827/meslav.vi20.21965

The Role of the Ukrainian Diaspora in Translating Lesia Ukrainka’s Works into English

2021· article· en· W4205574552 on OpenAlexfundaboutno aff
Mariya Shymchyshyn

Bibliographic record

VenueMundo Eslavo · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicUkrainian Cultural and Linguistic Studies
Canadian institutionsnot available
FundersUniversity of OxfordUniversity of Manitoba
KeywordsUkrainianDiasporaAppropriationConsciousnessHistorySociologyPolitical scienceLiteratureGender studiesLinguisticsArtPhilosophyEpistemology

Abstract

fetched live from OpenAlex

The article deals with the English translations of Lesia Ukrainka’s works. The author considers the new approaches to translation that emerged after the Cultural turn in the last part of the 20th century. In particular, the attention has been paid to the issues of migration and translation, negation of the Eurocentric ideas about translation, and translation as a constituent part for the formation of migrant’s community. Considering the chronology of the translation of Lesia Ukrainka’s works into English, it is argued that as a rule they were done by the Ukrainian diaspora and published in the periodicals, financed by the Ukrainian communities in Great Britain, the USA, and Canada. The most intensive phase of the popularization of poetess’s works in English happened to be during the middle of the last century. This could be explained by the nature of the third wave of migration, which occurred after World War II. This wave brought the highly politicized people, who tried to oppose the Soviet regime. They used literature to oppose the Soviet appropriation of the Ukrainian cultural heritage. Besides the Ukrainian diaspora have utilized the native fictional discourse to maintain the boundaries and consciousness of their collectivity.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.523
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.271
Teacher spread0.254 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2021
Admission routes2
Has abstractyes

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