L’étranger prisonnier : écueils d’une traduction passive en situation (post) coloniale1
Bibliographic record
Abstract
Il est intuitivement évident que le contexte colonial favorise tous les stéréotypes. Depuis Jean-Jacques Rousseau, l’image du bon sauvage et de ses précieuses vertus naturelles hante l’anthropologie et a fait la bonne fortune de plusieurs générations de littérateurs, voisinant d’ailleurs sans complexes avec celle du primitif avide et sans pitié. L’impact de ces clichés, formes condensées de savoir et véritables résidus de rapports de pouvoir, est assez aisément perceptible dans les traductions de certains styles de parole traditionnels, comme lehain-tenyde Madagascar. Les liens entre traduction et savoirs peuvent alors éclairer l’étendue, les ressorts et la persistance des « asymétries » au-delà même de la traduction, et montrer comment toute étrangeté (Berman, Venuti) non expurgée d’une certaine passivité à la source ne peut que reproduire les principaux raccourcis raciaux et culturels. Mots-clés :traduction, ethnographie, littérature, oralité, colonialisme.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.012 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".