Ideologically-adapted Translations: Challenge for Adequacy, Need for Retranslation
Bibliographic record
Abstract
Translation has always been regarded as the main channel for disseminating works of art, literature and culture. Throughout the history, Azerbaijani writers and poets have contributed to the world literature, as well as benefitted from the best literary masterpieces of the world by means of translation. The art of translation is the credit to the interaction between nations, cultures, and literatures in particular. However, the path of historical development of the national translation studies and translation practice in Azerbaijan has not always been smooth. Azerbaijan has for 70 years been a part of the USSR, and consequently all fields of human life, as well as translation activity were under strict control of the central authority. Ideological censorship imposed on culture, art and literature, particularly, on the literary translation can still be sensed today. The aim of this paper is to study the ideological deviations, adaptations and modifications in fiction translation during the Soviet period in Azerbaijan and to show why retranslation of such works is necessary in our country.
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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 | 0.185 | 0.361 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.006 | 0.036 |
| Scholarly communication | 0.012 | 0.019 |
| Open science | 0.004 | 0.012 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".