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Record W4390880140 · doi:10.31902/fll.46.2023.12

Challengıng the Other Translatıon: Frederıck Burnaby's on Horseback through Asia Minor's Adventure ın Turkish

2024· article· en· W4390880140 on OpenAlexaboutno aff
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Bibliographic record

VenueFolia linguistica et litteraria · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsTurkishAdventureMinor (academic)SubtitleParatextHistoryPresentation (obstetrics)Target textLinguisticsLiteratureTranslation studiesArtPhilosophyHumanitiesArt historyMedicine

Abstract

fetched live from OpenAlex

This article sets out to scrutinize two different Turkish translations of the English writer Frederick Burnaby’s travel writing On Horseback through Asia Minor (1878/1996). On Horseback through Asia Minor’s adventure in Turkish is an interesting case because the first translation was published in 1998 by Sabah Kitapları but just one year after this publication, another translation appeared on the Turkish book market, which was published by İletişim Yayınları. However, what is more interesting than these translations, which were published almost simultaneously, is the discourses of the publisher regarding the first translation on the cover of the presentation of the second translation. The publisher claims that the text is a “meticulous”, “uncensored” and “complete” translation, which points out that the previous translation included “censored” and “incomplete” parts. Therefore, this study questions the publisher’s claims by conducting a paratextual and textual analysis of the source text and target texts and also seeks to understand whether the causality created by the publisher led to the second translation or a retranslation. In its theoretical framework, it uses the concept “paratext” put forward by the French scholar Gérard Genette and “operational norms” introduced by the translation scholar Gideon Toury. The findings suggest that the second target text, rather than a “retranslation”, is a simultaneous translation that emerged incidentally almost in the same period, addressed the same target readers, and tried to bring out its difference from the other translation. It is also seen that the claims of the publisher in the second target text on the grounds of “censorship” and “incompleteness” are valid and this causes a rivalry between translations in the translated book market by not only strongly challenging the other translation but also forming market negativity towards it.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.120

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.004
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.002

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 head0.063
GPT teacher head0.312
Teacher spread0.249 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2024
Admission routes1
Has abstractyes

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