Les québécismes, ces méconnus : réflexion méthodologique sur la traduction en italien du lexique québécois dans Agaguk et N'tsuk d'Yves Thériault.
Bibliographic record
Abstract
La tesi si sofferma sulla traduzione in italiano delle specificità lessicali del francese del Québec rilevate in due opere rappresentative della lingua francese quebecchese : Agaguk e N’tsuk di Yves Thériault. L’analisi monolingue e contrastiva dei quebecismi e della loro traduzione italiana ci ha permesso di verificare se i traducenti utilizzati rendessero conto o meno della specificità del francese quebecchese. La nostra ricerca ha quindi contribuito a dimostrare che una traduzione soddisfacente dei quebecismi è possibile, ma solo attraverso la consultazione corretta degli strumenti lessicografici specifici sul francese del Québec di cui oggi il traduttore può disporre.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".