Queering the translation : unveiling Chinese fansubbed homosexuality in Queer as Folk
Bibliographic record
Abstract
This thesis examines the Chinese fansubbing of Queer as Folk through the lens of feminist and queer translation theories, exploring how fansubbers navigate linguistic and cultural challenges in translating queer content.By analyzing translation strategies, the study investigates how fansubbing contributes to the formation and activation of queer identities among Chinese audiences, emphasizing its subversive potential in challenging heteronormative hegemonies in China.The research employs back translation to identify key translation differences, revealing the complexities involved in conveying queer language and identities in a socio-political context that often marginalizes LGBTQ+ expressions.Furthermore, the thesis situates fansubbing as a form of queer screen activism, highlighting its role in fostering public discourse on sexuality and gender diversity.Ultimately, this study positions fansubbing as not only a translation practice but also a communal and activist endeavor that reshapes cultural understandings of queerness in China.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".