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Record W2889520026 · doi:10.5539/ijel.v8n6p216

The Translation of Mourid Barghthouti’s Autobiography as a Cultural Encounter

2018· article· en· W2889520026 on OpenAlexvenueno aff
Ayman Nazzal

Bibliographic record

VenueInternational Journal of English Linguistics · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsBiographyExistentialismDiasporaPalestineAdmirationIdentity (music)LiteraturePoliticsAbandonment (legal)HistorySociologyAestheticsArtLawPolitical scienceGender studiesAncient history

Abstract

fetched live from OpenAlex

I saw Ramallah, is an autobiography of Mourid Barghouti, a Palestinian writer and poet. It is an honest and accurate account of a Palestinian who could not adapt to the changes that have taken place during his absenteeism. It can also be considered a precise manifestation of the national and political identity of the author. It is about the abandonment and loss that Palestinians feel both in Palestine and in the Diaspora. I saw Ramallah is the type of literary genre that won the admiration of Edward Said, who considered it as, “one of the finest existential accounts of Palestinian displacement that we now have.” The aim of this study is to explore translational problems and challenges of this autobiography into English by Ahdaf Soueif, the celebrated Egyptian novelist and critic. This study examines some of the translation strategies adopted by Ahdaf Soueif in handling the complexity posed by cultural-bound expressions since such expressions are bound to pose a real challenge for the translator. This study underlies the role of language in reflecting the realities of an entire community; all encompassed as facts, memories, imagination, and fiction.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.957
Threshold uncertainty score0.392

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.033
GPT teacher head0.309
Teacher spread0.276 · 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 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

Citations3
Published2018
Admission routes1
Has abstractyes

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