De La traduction en citations / Citas de traducción de Jean Delisle, Presses de lâUniveristé dâOttawa, 2007. Segunda Entrega
Bibliographic record
Abstract
parte presentada en el volumen 6 N1 del 2013 , y que publicamos aqu con la autorizacin del autor.Adems del inters histrico y traductolgico de la obra en s misma, el propsito de traducir algunos apartados constituye una tarea que beneficia a investigadores en traductologa y a formadores de traductores.El hecho de que la obra recoja las ideas y concepciones, muchas veces opuestas, de diversos autores de distintas pocas y contextos lingsticos, aade un desafo a la traduccin; cada cita ha de leerse (y traducirse), por tanto, en el contexto al que pertenece.La seleccin que aqu publicamos comienza con citas de: Adaptation/Adaptacin (p.1 del original, traductor Jonny Barco), cuyos apartados resaltan las semejanzas y diferencias entre la traduccin y la adaptacin; contina con Culture, humanisme, civilisation / Cultura, humanismo, civilizacin (pp.41-45 del original, traductor Mateo Jimnez), seccin en la cual se rescata la estrecha relacin que
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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".