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Record W4379914114 · doi:10.4000/hispanismes.11824

La langue du colonisé à l’épreuve de la traduction. Les versions françaises de Os Cus de Judas, d’António Lobo Antunes et de A Costa dos Murmúrios, de Lídia Jorge

2018· article· fr· W4379914114 on OpenAlexaff
Dominique Faria

Bibliographic record

VenueHispanismeS · 2018
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsNortel (Canada)
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Os Cus de Judas (1979) et A Costa dos Murmúrios (1988) sont des romans d’auteurs portugais contemporains sur la guerre coloniale portugaise en Afrique, parus en traduction française en 1983 et 1989 respectivement. Ces textes ont été traduits d’une langue périphérique dans une langue centrale et introduits dans un système culturel plus prestigieux que le portugais. La première partie de cet article identifie les intervenants dans le processus de traduction pour déterminer le rôle qu’y ont joué des questions comme le patronage. La seconde partie de l’étude portera sur la façon dont les peuples colonisés, leurs cultures, et plus spécifiquement leurs langues sont représentés dans ces romans. Les romanciers portugais introduisent, dans le texte en portugais, des mots dans les langues locales et minoritaires, souvent des termes culturellement chargés. L’objectif est de vérifier s’il y a eu tendance, lors de la traduction, à remplacer des références culturelles étrangères à la civilisation Occidentale par des formes de représentation plus répandues.

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: none
Teacher disagreement score0.055
Threshold uncertainty score0.109

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 studies0.0060.012
Scholarly communication0.0050.003
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.026
GPT teacher head0.297
Teacher spread0.270 · 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
Published2018
Admission routes1
Has abstractyes

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Same venueHispanismeSSame topicLinguistics and Discourse AnalysisFrench-language works237,207