Translator Identity and the Development of Multilingual Resources for Language Learning
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
ABSTRACT Although a range of studies suggest that translation is a valuable pedagogical tool for language learning, the process of translation has not been adequately investigated. Further, the identity of the translator is invisible in much research on translation. To address these gaps in the field, the author draws on a self‐study of her translation of English books into Bangla and uses narrative inquiry methods to investigate the process of translation and the negotiation of identity. Drawing its theoretical underpinnings from Norton’s work on identity (Darvin & Norton, 2015; Norton, 2013), the author investigates how she navigated her translator identity with respect to investment, capital, and ideology. Extending Nida’s formal and functional equivalence in translation (Nida & de Waard, 1986), the author develops a “continuum of equivalence” model to facilitate decision‐making in the translation process and illustrates how she used this model in her English‐Bangla translations. Drawing on her study, the author makes the case that the model could enhance the use of translation as a pedagogical tool to promote language learners’ critical language awareness, multicultural knowledge, and creative thinking. Further, her study makes visible the identity of the translator, an important stakeholder in the promotion of multilingualism in language education internationally.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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