La transposition des mots et des mondes : pour la constitution d'une base parallèle de traductions italiennes de la littérature québécoise
Bibliographic record
Abstract
Dans cet article est décrit le projet de constitution d’une base parallèle français québécois-italien ( QU-IT ) en cours de réalisation. Cette base, qui recueillera les citations littéraires ayant déjà fait l’objet d’un recensement dans le Fichier Lexical du TLFQ, permettra d’accéder automatiquement aux différents traduisants proposés dans les traductions italiennes des principaux ouvrages littéraires québécois. Elle constituera un outil de documentation et d’analyse pour les traducteurs, les lexicographes bilingues et les apprenants du FLE qui s’approchent des variétés diatopiques de la langue française, afin qu’à l’avenir la transposition des mots et des mondes en italien soit plus respectueuse de la pluralité linguistique et culturelle de la Francophonie.
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".