Representation of Feminist Translation Strategies in the Turkish Translation of Angela Carter's "The Bloody Chamber"
Bibliographic record
Abstract
The relationship between gender studies and translation studies creates a new scope, which is called Feminist Translation Studies (FTS). In the late 1970s in Quebec, the movement emerged, followed by women writers whose aims were not only to reinscribe femininity in language but also deconstruct hegemonic male-centric dominance in the language by contributing to the cultural turn as a discipline. Since then, FTS has started to be a new field or an inspiration from the perspectives of women writers and theorists. This area of study has shown extraordinary growth in recent years. Although there is an increasing presence of women in translation studies, there is still a profound desire for the rediscovery of female writings and images. As an interdisciplinary framework, FTS mainly deals with the intersectional relationship between feminist theories and practices. This intersectional relationship makes translation the heart of feminist politics. If we consider translation from a feminist angle, it is important to bear in mind that translation is seen as one of the crucial components of feminist politics and ideology. In order to spread both the politics and ideologies of feminism, we need to consider translation as a cross-cultural tool that generates inseparable connections between gender and language. In this respect, the transnational journey between the authors and the translators emerges during the translation process. In this regard, the aim of this study is to evaluate feminist translation strategies in the Turkish rendering of Angela Carter’s short story, “The Bloody Chamber”translated by Özden Arıkan within the framework of Feminist Translation Theory. This study also attempts to investigate in what respect the Turkish translation of Angela Carter’s short story illustrates the paratextual strategies of feminist translation studies by demonstrating in/visibility of the translator
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".