Socio-Cultural Characteristics Found in Russian-Korean Translation of Metaphoric Expressions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Translation is an act of communication across dissimilar cultures as well as a dynamic activity in which translators are required to make choices and decisions for the purpose of resolving problems. This paper draws on metaphoric expressions and their translations to recapitulate that the work of translation is not limited to the languages or the texts involved but is a dynamic activity that bridges two diverse cultures. Metaphoric expressions are non-literal, have implied meanings, and are used to emphasize a point or to enhance the expression’s impressibility. Furthermore, metaphoric expressions are affected greatly by the culture to which they belong because they are created through a complex interaction between object, image, and sense. Consequently, in order to properly communicate the true meanings of these metaphoric expressions, translators play the role of an active mediator by either replacing the metaphoric expression found in ST with a different but compatible metaphoric expression or by using non-metaphoric, descriptive expressions or by appending additional explanation. This paper uses Korean translations of metaphoric expressions found in Russian source texts as examples to discuss the socio-cultural differences between the two cultures, how these characteristics are revealed in Russian-Korean translations, and how these issues are overcome. Based on the research results, the paper also emphasizes that understanding the vastly different socio-cultural characteristics of these two cultures is essential to the field of Russian-Korean translation with its relatively short history, to not only improve the quality of translations but also for the field’s continual advancements.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it