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Record W1513146853 · doi:10.21992/t99d06

Literary Translation and (or as?) Conflict between the Arab World and the West

2008· article· en· W1513146853 on OpenAlexaffvenueabout
Mustapha Ettobi

Bibliographic record

VenueTranscUlturAl A Journal of Translation and Cultural Studies · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsMcGill University
Fundersnot available
KeywordsGeopoliticsArabicPower (physics)Resistance (ecology)HistoryWorld War IIRoot (linguistics)LiteratureClassicsPolitical scienceLinguisticsPoliticsArtLawPhilosophyArchaeology

Abstract

fetched live from OpenAlex

Major developments in the translation of literary works from Arabic into French and English and vice versa tend to indicate that it has been influenced by the geopolitical relationship between the Arab world and Western countries. In my paper I try to show how the essence of this translation history has taken root in the power differentials and conflicts between these two entities by analyzing three different phases of translation, namely: - Napoleon Bonaparte’s Expedition to Egypt in the 18th century and the translation movement that followed in the 19th century. - Post-Second-World-War phase including the intense translation activity during the Nasser era. - From 1988 (when Mahfouz was awarded the Nobel Prize) to the post-9/11 era. I will also explain how translators (like Canadian-born Johnson-Davies) played a key role in these times of war and/or peace. The work of some of them can also be considered as a form of resistance against prevailing (often negative) representations of the Other and its culture. The article ends with reflections on the current (and future) situation of the translation of Arabic literature into English and French.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.903
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.001
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 head0.198
GPT teacher head0.327
Teacher spread0.130 · 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.

Study designNot applicable
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

Citations2
Published2008
Admission routes3
Has abstractyes

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