Current Trends in the Russian Translation Theory: Towards a New Methodological Standard of Translation / Book Review: Mishkurov, E. N. Hermeneutics of Translation (Towards Theoretical and Methodological Standard of Translation): Monograph. Moscow, Military University Press, 2018, 298 p. (in Russ.)
Bibliographic record
Abstract
In the second decade of the 21st century Russian translation studies are receiving a fresh impetus. Amid attempts the culture-oriented translatology undertakes to disown principles of the linguistic approach that traces its origin to R. Jakobson’s works, Russian scholars are first and foremost keen on ensuring consistency with methodology of the Soviet and French Canadian school (J.-P. Vinay, J. Darbelnet, G. Mounin, Y. I. Retsker, A. V. Fedorov, E. G. Etkind, etc.) while revisiting existing approaches to translation and recognizing a huge impact the culture has on it. In our opinion, their goal is to develop some universally applicable paradigm, a sort of “framework” theory, that can explain an interaction of all old and new factors in an act of intercultural mediation by means of translation without casting doubt upon translation as such given it has been proving itself as a practice for many centuries. The focus of recent theoretical research is gradually shifted from linguistic reasoning per se towards an in-depth analysis of counterproductive ideas and factors of linguistic and literature studies approaches in the development of the Russian translatology (R. R. Chaykovskiy), discourse aspect of translation within the framework of a communication situation that allows of taking into account all formants of the latter, including the goal and strategy of translation as well as tactics of its implementation (V. V. Sdobnikov), analysis of the transition discourse in a self-organizing translation space forming the translator’s harmonious outlook aimed at harmonizing meanings of interacting languages and cultures (L. V. Kushnina), in-depth analysis of audiovisual translation peculiarities within the process-oriented translation approach that indisputably requires conveying an image-sense of the film dialogue (V. E. Gorshkova), representation of translation as a discourse and communication model facilitating creation of a discourse dossier as a basis for a translation strategy development as exemplified by an institutional discourse (T. A. Volkova), consideration of ways the verbal and cogitative process and translator’s understanding take their course in the mono- and cross-cultural communication (P. P. Dashinimaeva), development of a systemological transdisciplinary model of translation (N. K. Garbovskiy). All these studies implicitly or explicitly touch upon the hermeneutic aspect of translation, a deep philosophical rationale of which has been given in a monograph by E. N. Mishkurov who interprets it as “a hermeneutical turn” and undertakes a critical analysis of fundamental works by F. Schleiermacher, H.-G. Gadamer, W. Benjamin, G. Steiner, P. Ricoeur and other western philosophers as well those by Russian scholars. He postulates that, within a proposed hermeneutic paradigm of translation (HPT), a hermeneutic-translation methodological standard (HTMS) is created as a transdisciplinary interlingual “mental generative” model of translation mediation under the principle of “hermeneutic circle / hermeneutic spiral”. An “algorithm” of the model described as a standard one presupposes that there must be four stages in it: pre-understanding, understanding, interpretation and translator’s decision. The latter is regarded as a stage where phenomenological reduction of interpretation of meanings taking place at the three previous stages is completed. Thus, translations activity is a development and one of the forms of philosophical and hermeneutical treatment of discourse phenomena that considers interpretation as its main tool. E. N. Mishkurov believes that the use of the above mentioned standard allows us to take into account all classic and innovative translation models providing for a “discourse equivalent and pragmatically adequate” version when dealing with different types of texts, their genres, and particularly when translating contexts that cannot be re-expressed by means of regular translation correspondences. The author’s ideas are backed up by examples in Russian, English, French and Arabic.
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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 | 0.018 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.009 | 0.013 |
| Science and technology studies | 0.002 | 0.012 |
| Scholarly communication | 0.011 | 0.015 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 0.006 |
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".