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Record W2115376795 · doi:10.7202/037395ar

The Politics of Non-Translation: A Case Study in Anglo-Portuguese Relations

2007· article· en· W2115376795 on OpenAlexvenueno aff
João Ferreira Duarte

Bibliographic record

VenueTTR traduction terminologie rédaction · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicPhilippine History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsRivalryPopularityPortuguesePoliticsTranslation studiesContext (archaeology)IdeologyLinguisticsPeriod (music)HistoryNationalismColonialismSociologyLiteraturePolitical scienceAestheticsArtLawPhilosophy

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.566
Threshold uncertainty score0.862

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.088
GPT teacher head0.365
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations28
Published2007
Admission routes1
Has abstractyes

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