The Politics of Non-Translation: A Case Study in Anglo-Portuguese Relations
Bibliographic record
Abstract
The Politics of Non-Translation: A Case Study in Anglo-Portuguese Relations — One of the most fruitful paths opened up by the functionalist, target-oriented, turn in the study of the translation has been the possibility of taking into theoretical and analytical account objects that are epistemologically identifiable as being empirically absent. Non-translation, both at a lexical or a textual level, becomes thus available for research. In this context, the present paper has a double purpose: to describe a set of non-translation categories and to discuss a case of ideologically driven absence of translation. This case study concerns an intriguing episode in Shakespeare reception in Portugal: the almost complete lack of new translations from Shakespeare's works into the last decade of the nineteenth century following a fifteen-year period of intense translational activity and unprecedented popularity enjoyed by Shakespeare in the target culture. It was found that such a striking instance of non-translation was due to a nation-wide wave of anti-British nationalism that swept the country in the wake of colonial rivalry over a portion of territory in Southern Africa.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.025 | 0.012 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 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".