La tarea (cada vez más impropia) del traductor. Un breve panorama del ejercicio de la traducción en Canadá hoy
Bibliographic record
Abstract
Este texto ofrece un breve panorama de las discusiones y los cambios más importantes que se han dado a partir de los setentas en Canadá en el mundo de la \ntraducción literaria, sobre todo del francés al inglés. Comienzo con el papel destacado que tuvieron las traductoras feministas en Quebec, continúo con el caso de las traducciones del francés de la clase trabajadora (joual) y concluyo con un estudio sobre las aportaciones más recientes que ha realizado Sherry Simon de lo que acontece en este universo, así como sobre su estiramiento de los límites tradicionalmente aceptados para esta actividad. //// This text offers a brief survey of the main discussions and changes that have taken place, since the seventies, in Canada in the world of literary translation, particularly of French literature into English. I begin with the important role feminist translators played in Quebec, then I discuss the translation of working class joual, and I end up working on Sherry Simon’s most recent contributions to the study of what is happening today in this field in Canada and on her stretching of the traditionally accepted limits of this activity.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.019 | 0.020 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".