Le jeu de scène: traductions et traducteurs à travers les cultures et les genres littéraires
Bibliographic record
Abstract
This article aims at revealing a series of collective and individual represen-tations of translation and of the translating subject present in the work of fiction. The authors chosen for this analysis belong to a multicultural space and are therefore inclined to reflect upon translation. Every author will opt for a specific genre. However , are there any recurrent representations of translation and of the translating subject from one genre to the other, across the cultures and across the different writing styles? In order to analyse the transfer of representations between these genres, but also between translation theory and fiction, we have selected the following texts: Carlos Batista ’s Bréviaire d’un traducteur (2003), Ólafur Jóhann Ólafsson ’s Absolution (1994), Dezsó Kosztolányi’s Le Traducteur cleptomane (1985), José Carlos Somoza’s La caverne des idées (2002), Michel Orcel’s Les larmes du tra-ducteur (2001) and John Crowley ’s The Translator (2002).
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.011 | 0.013 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
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".