TRADUZIR O LATINO-CANADÁ: TRANSLATION STRATEGIES OF SPANISH- AND PORTUGUESE-SPEAKING AUTHORS IN CANADA.
Bibliographic record
Abstract
Os últimos quarenta anos têm conhecido uma onda crescente de imigrantes latino-americanos no Canadá. Esses recém-chegados incluem uma quantidade de artistas e escritores que, gradualmente, têm criado uma nova área de literatura, que se poderia chamar de latino-canadense. Mesmo que a maioria deles componham na sua língua materna, quase todos se dão conta da importância da tradução na difusão da sua obra nas correntes principais – inglesa e francesa – do país. Para fazê-lo, adotam uma variedade de estratégias engenhosas: alguns inclusive têm publicado livros híbridos em espanhol, francês e inglês ao mesmo tempo. Este artigo examina as atitudes dos escritores latino-canadenses com relação à tradução, assim como os desafios e os meios utilizados para transmitir sua obra aos mundos literários das duas línguas oficiais. Résumé: Les derniers quarante ans ont connu une vague grandissante d’immigration latino-américaine vers le Canada. Parmi ces nouveaux arrivants se trouve un grand nombre d’artistes et d’écrivains qui ont graduellement créé une nouvelle branche de la littérature qu’on qualifierait de latino-canadienne. Bien que la majorité des écrivains hispano- et luso-canadiens créent dans leur langue maternelle, ils se rendent compte presque tous de l’importance de la traduction dans la diffusion de leur œuvre aux courants littéraires anglais et français du pays. Pour le faire, ils ont adopté une variété de stratégies ingénieuses; plusieurs ont même publié des livres hybrides en espagnol, français et anglais à la fois. Cet article examinera les attitudes des écrivains latino-canadiens à l’égard de la traduction, ainsi que les défis et les approches qu’ils utilisent pour transmettre leurs œuvres aux mondes littéraires des deux langues officiell. Abstract: The past forty years have witnessed a growing stream of Latin American immigration into Canada. These new arrivals have included a large number of artists and writers who have gradually created a new branch of literature: Latino-Canadian writing. Though most Hispanic and Luso-Canadian writers create in their native language, virtually all of them realize the importance of translation in making their work known to the English and French mainstreams. In order to do so, they have adopted a variety of different and often ingenious strategies; a few have even published hybrid books in Spanish, French, and English. This article examines the attitudes of Latino-Canadian writers toward translation, as well as the challenges and approaches involved in bringing their work into the literatures of the two official languages.
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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.018 | 0.007 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| 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".