The Trace of the Untranslatable: Emmanuel Levinas and the Ethics of Translation
Bibliographic record
Abstract
Looking at Holocaust testimonies, which in her view always involve some form of translation, the author seeks to develop an ethics of translation in the context of Levinas’ hyperbolic ethics of responsibility. Calling on Benjamin and Derrida to make explicit the precipitous task of the translator, she argues that the translator faces an ethical call or assignation that resembles the fundamental structure of Levinasian subjectivity. The author relates the paradoxes of translation in Holocaust testimony to Levinas’ silence on the problem of translation—puzzling if one considers Levinas’ focus on the ethical essence of language, his multilingualism, and the fact that he wrote his texts in a second language. She proposes that the trace of the philosopher’s displacement from his linguistic community can be discerned in his exilic conception of ethical subjectivity and in the testimonial impetus that animates his work. Thus, although Levinas’ Saying is posited as a translinguistic horizon that transcends the boundaries of a particular national language, it carries the remainder of the disavowed loss of the mother tongue.
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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 | 0.008 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.048 |
| Scholarly communication | 0.009 | 0.012 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".