The Impact of Translators’ Epistemological Beliefs and Gender on Their Translation Quality
Bibliographic record
Abstract
This study aimed to determine the relationship between translators’ epistemological beliefs and gender on their Persian-to- English translation quality. To do so, a group of 53 MA translation students both male and female were selected, through convenient sampling to participate in this study. For data collection two instruments were employed: 1- Epistemic Beliefs Inventory (EBI) 2- Translation Test including a piece of poem. Regression analysis was also conducted to explore the interaction of epistemological beliefs and gender of translators on their translation quality. The findings indicated that there is no significant relationship between the components of epistemological beliefs and translation quality, except in one case that QL (quick learning) has a negative relationship with translation scores. Translators’ gender significantly affects the translation quality. An implication of the results is that males translate significantly better than females regarding the quality of translation. The interaction of translators’ epistemological beliefs and gender significantly affect the translation quality.
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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 | 0.011 | 0.072 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".