Domestication and foreignisation of allusions in Persian translations of Waiting for Godot: A case study
Why this work is in the frame
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Bibliographic record
Abstract
In this thesis, Samuel Beckett’s Waiting for Godot along with its Persian translation was analysed in terms of Venuti’s dichotomy of domestication and foreignisation. The allusion samples were selected through the whole book. Then, the translations of the allusions were analysed. It was found that foreignisation happened mainly when there was a proper name (PN) in the item which was translated. Items without PN were almost domesticated. Even if they had been foreignised, the referents for the TT reader would have been ungraspable, mainly due to the cultural and religious differences. These findings will help literary translators to have a better understanding of such plays. Having taken that the translators would stick to the findings of this research, the readers will be able to have an expressive translation of the play rather than an informative piece of translation. Also, the findings can be an aid in both empirical and theoretical studies.
 
 Keywords:Domestication, foreignisation, allusion, style, literary translation
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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 | 0.000 | 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 | 0.000 | 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