Les québécismes dans les romans d'Anne Hébert et de Gaétan Soucy et leurs traductions italiennes: analyse intralinguistique et contrastive
Bibliographic record
Abstract
La tesi si sofferma sulla traduzione dal francese quebecchese verso l'italiano di due opere letterarie del Québec rappresentative della lingua francese quebecchese: "Les Fous de Bassan" di Anne Hébert e "La petite fille qui aimait trop les allumettes" di Gaétan Soucy. Attraverso un'analisi dei quebecismi e della loro traduzione in italiano, abbiamo potuto verificare se i traduttori avessero tenuto conto o meno delle specificità del francese del Québec. Grazie alle ricerche condotte, abbiamo potuto dimostrare che è possibile giungere a una traduzione dei quebecismi soddisfacente grazie alla corretta consultazione delle risorse lessicografiche specifiche sul francese del Québec attualmente disponibili.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".