The discourse of translation portraiture
Notice bibliographique
Résumé
The article introduces a new kind of special discourse – the discourse of translation portraiture, interpreted by the authors as a cognitive-communicative event that takes place in the translation and meta-translation space formed in the mind of the translator as an active, thinking, creative subject. The professional activity of a transla-tor as an elite linguistic personality with a harmonious worldview and generating qual-ity texts is aimed at establishing interlingual and intercultural contacts, mutual under-standing and interaction of communicators belonging to different linguocultures. The research is based on the idea of creating portraits of translators, first realised by the Canadian scientist J. Delille. The object of the study is the personological space of lan-guage and culture. The subject of the study is the linguistic personality of the translator. The main aim of the article is to substantiate the necessity of theoretical comprehension and practical realisation of the discourse of translation portraiture. In order to achieve this goal, the following research tasks were solved: identification of the role and place of the discourse of translation portraiture in modern discourseology, development of an algorithm for describing portraits of Russian translators, creation of a portrait of an outstanding Russian writer and poet, Nobel Prize winner in Literature Boris Le-onidovich Pasternak, who left a rich translation heritage. The paper summarises and systematises the scientific prerequisites for the develop-ment of the discourse of translation portraiture, which form independent areas of trans-lation discourse in the works of Russian researchers. The material for the analysis is texts about Russian translators, devoted to the description of their life and creative path, professional activity in various fields, including translation activity: the choice of trans-lation strategies, text types, translated languages; the nature of translation reflection; memoir studies, interviews, etc. Due to the fact that we are interested in the linguistic personality of B.L. Pasternak, his literary and translation work, which represents the best examples of the twentieth century, serves as the material of the research within the framework of this article. At present, an independent area of research is being formed – the discourse of translation portraiture: theoretical and empirical information is being accumulated, portraits of other Russian translators are being created, their role in na-tional and world literature and culture is being revealed. The hypothesis formulated for this study is that the discourse of translation portraiture is a hybrid type of discourse, as it emerges at the intersection of various scientific concepts: discourse studies, lin-guopersonology, the theory of translator's linguistic personality, translation theory, translation criticism and others. The main methodological tool is L.V. Kushnina's con-cept of translation space, according to which translation is understood as a synergetic system of transposing heterogeneous meanings from one linguoculture to another. Based on the concept of epistemic situation introduced by M.P. Kotyurova, in the pre-vious works we substantiated the concept of translation episteme, including ontology, methodology, and axiology. The ontology of translation activity is based on the trans-lator's cognitive efforts, the methodology is based on the synergetic increment of cul-turally determined meanings in the translation discourse, and the axiology is determined by the generation of a harmonious translation discourse, the meanings of which are commensurate with the meanings of the original discourse. The research resulted in the creation of ‘touches’ to the portrait of Pasternak the translator, as the creation of a full-fledged portrait of the translator, an outstanding representative of Russian literature, requires extensive research. It was concluded that the algorithm proposed by the authors for creating a portrait of a translator can be used to describe portraits of other outstand-ing Russian translators.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,005 | 0,024 |
| Communication savante | 0,008 | 0,011 |
| Science ouverte | 0,001 | 0,005 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».