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Record W2512871337 · doi:10.7202/1037131ar

Translators Talk about Themselves, Their Work and Their Profession: The Habitus of Translators of Russian Literature into Hebrew1

2016· article· en· W2512871337 on OpenAlexvenueno aff
Tanya Voinova, Miriam Shlesinger

Bibliographic record

VenueTTR traduction terminologie rédaction · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsHabitusInvisibilitySociologyIdentity (music)Field (mathematics)Construct (python library)HebrewEpistemologyAestheticsCultural capitalLinguisticsSocial sciencePhilosophy

Abstract

fetched live from OpenAlex

In his discussion of the habitus of translators throughout history, Simeoni highlights the submissiveness and invisibility associated with their inferior position and with their tendency to assimilate and internalize these views of their professional activities. In keeping with recent reappraisals of this position, the present paper examines the ways in which translators of Russian literature into Hebrew, from the 1970s to now, present themselves, their work and their profession—and reflect on their habitus, their conduct in the system of Russian literature translation, and their practice. From the theories of Bourdieu and of Even-Zohar, we explore these self-representations, and find that rather than presenting themselves as invisible, passive and professionally indistinct, these translators make a point of announcing their presence as well as of emphasizing their work. While they adopt different models, they nevertheless share a repertoire and both a social and a professional habitus—one that is a prerequisite for entering the field of literary translation, and particularly the subfield of literary translation of Russian literature, and for operating successfully in these arenas. It is in this way that they achieve status in the culture, accumulate capital and construct their (distinctive) group identity. In addition, the discourse of Russian literary translators points to the dynamic nature of their system and helps push it towards the center of the polysystem of Hebrew translated literature.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.885
Threshold uncertainty score0.526

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.040
GPT teacher head0.262
Teacher spread0.222 · 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 designNot applicable
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

Citations12
Published2016
Admission routes1
Has abstractyes

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