The Sociocultural Function of Translation: A Study of Simin Daneshvar’s Stories Sociocultural Aspects
Bibliographic record
Abstract
The term “gender” is a load concept in translation studies. The present study focuses on stories written by Simin Daneshvar (1921-2012), a contemporary Iranian female translator and novelist, in order to explore how the visibility of women in the Iranian culture and community after a long patriarchal era has changed the community’s thoughts about women. The method used for this study was qualitative with the interpretive approach. The corpus consisted of five Persian stories, Wandering Island, Wandering Cameleer, The Quenched Fire, Ask from Birds of Passenger and Suvashun by Daneshvar, who has contributed to the promotion of Iranian women’s sociocultural status during the contemporary era. The results proved that women translators and novelists had endured the hardships of sociocultural changes and made it possible for the modern Iranian women to make themselves visible in their social context.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".