Domestication and foreignisation of allusions in Persian translations of Waiting for Godot: A case study
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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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".