Au tour de Babel ! Les défis multiples du multilinguisme
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Selon la conception traditionnelle de la traduction, les traducteurs ont pour tâche de camoufler Babel en corrigeant, en adaptant et en uniformisant les discours afin de faciliter la communication entre les peuples. Or, de plus en plus d’écrivains bilingues, voire polyglottes, célèbrent Babel en créant des textes où deux ou plusieurs langues cohabitent. Que se passe-t-il lorsque ces mondes entrent en collision et qu’un traducteur décide de relever les défis multiples que présente un texte multilingue ? La présente étude situe d’abord le multilinguisme littéraire à travers l’histoire, résume ensuite ses diverses manifestations et fonctions, pour enfin souligner l’importance chez les traducteurs et traductologues de développer de nouvelles stratégies pour faire rayonner Babel.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it