COGNITIVE AND CULTURAL PARADIGMS AS A CONTEXT FOR THE UKRAINIAN-ENGLISH TRANSLATION OF POETRY (BASED ON THE TRANSLATIONS OF POETRY OF THE UKRAINIAN DIASPORA IN CANADA BY WATSON KIRKCNONELL)
Bibliographic record
Abstract
The article dwells on Watson Kirkconnell's translation procedures used in the translation of poetry by representatives of the Ukrainian diaspora in Canada from Ukrainian into English from the perspective of cognitive translation studies and with an eye to the cultural paradigm of the original works. The aim of the study is to reveal the process of reformulating the original text based on the translator's conceptual understanding as a way to create an artistic unit equivalent (in the recipient's understanding) to the original. The relevance of the work is determined by the need to identify the key features of the reproduction of cognitive and cultural paradigms in poetic translation from Ukrainian into English. Additionally, the problem is derived from a contemporary pursuit for covering the representation of the poetic works of the Ukrainian diaspora in Canada, relevant due to the lack of current research. The authors' research shows that the renewed interest in diasporic literature in translation is currently insufficient, and this is particularly true for highly specialized studies that would focus on specific aspects of the literary translation process from the perspective of cognitive translation studies. In order to achieve the declared goal, the authors resort to empirical research methods, in particular content analysis, conceptual analysis and translation transformation analysis. The purpose of using translation analysis is to identify and outline the procedures used by Watson Kirkconnell. Applying the method of conceptual analysis, based on the systematization of the conceptual sphere of connotatively colored units and their correlation with the correlates proposed by the translator, the authors determine how the translation procedures used by Watson Kirkonel contributed or did not contribute to the transmission of the original conceptual space and the national flavor encoded in it, inherent in the representatives of the Ukrainian diaspora in Canada. According to the results of the study, the authors conclude that the procedures applied by Watson Kirkonell are mostly effective in creating an equivalent communicative, figurative and artistic and aesthetic unit, which, however, does not negate the identified shortcomings in the interpretation of the attributes of the original works colored by the national and cultural flavor.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.013 | 0.040 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".