En-gendering Translation as a Political Project: The Subversive Power of \n Joyce Lussu’s Activist Translation(s)
Bibliographic record
Abstract
Drawing on the multifaceted nature of translation and its reconceptualisation in many cultures and research fields, this chapter explores the subversive power of Joyce Lussu's activist translation(s). The chapter traces a brief excursion into Joyce Lussu's life and intellectual relationships to frame her engagement in a broad political agenda as a reflection of her intersectional feminism. It then discusses how the translation method used by Lussu has challenged the boundaries between translation and other kinds of re-writing, re-processing or re-presenting. The chapter also examines her legacy as a pseudo-translator that is, in Pursglove's terms, a translator of texts that are explicitly presented as translations from another language, but are actually 'original' compositions. Finally, it focuses on the connection between Lussu's unconventional politics of translation and her unconventional feminist views framed around the notion of intersectionality-that is, the interrelationship of gender, class, race, nationality etc., which is used as the main analytical tool to examine Lussu's writing and translation.
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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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.034 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".