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Record W2059063193 · doi:10.7202/1011251ar

Translational Shifts of Syntactic and Lexical Markers of Ideology: Reporting the Iraqi Conflict in Polish Reprint Press

2012· article· en· W2059063193 on OpenAlexvenueno aff
Ewa Gumul

Bibliographic record

VenueMeta Journal des traducteurs · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsLinguisticsSource textIdeologyCohesion (chemistry)ReprintVariety (cybernetics)Critical discourse analysisTransitive relationComputer scienceSociologyPsychologyArtificial intelligencePoliticsPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

The present paper focuses on the notion of mediating source-text ideology in press translation, investigating lexico-grammatical resources. This study is partly set within the framework of Critical Discourse Analysis. The analysis focuses on such features as disambiguation or creation of grammatical metaphors (i.e., nominalisation and denominalisation), changes in transitivity patterns, modifications of the levels of modality, as well as shifts in lexical choice, semantic prosody and cohesion patterns. The source of the texts analysed in this paper is a Polish reprint magazine, Forum , publishing translated articles from a variety of English-language quality press titles. The articles selected for the analysis deal with the Iraqi conflict in 2003 and its aftermath. The aim of the study is to ascertain whether the lexical choice and the syntactic structures employed in the target texts engender changes in the ideological content of the source texts and the projected point of view. Given the nature of reprint press, a hypothesis has been formulated that the source-text ideology might remain unchanged in the process of translation or the translator’s intervention is expected to be minimal. The results reveal, however, that a substantial proportion of the translated texts fall within the category of partial mediation, projecting an altered point of view to a target-text audience.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.357
Threshold uncertainty score0.302

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.156
GPT teacher head0.327
Teacher spread0.171 · 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 designObservational
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

Citations9
Published2012
Admission routes1
Has abstractyes

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