Femmes, joual et figure du traducteur: version polonaise d’Albertine, en cinq temps de Michel Tremblay
Bibliographic record
Abstract
Women, joual and the figure of a translator: a Polish versi on of Albertine, in Five Times by Michel TremblayThe aim of the present article is to present the problem of translating into Polish the joual,which is one of the important elements of the oeuvre of the Quebecois playwright Michel Tremblay. Using the play Albertine, in five times and its Polish translation by Jacek Mulczyk-Skarzynski, the present authors demonstrate both the specific nature of the original text and the characteristic features of the joual as well as the strategies applied by the translator. Albertine, in five times is a unique combination of the world of female characters and joual, inextricably connected with them, which means that such an important element of the text should be rendered in a translation with particular care. In the analysed corpus, the translator acquits himself well on the whole, although the technique he chose compensation, mainly on the lexical level brutalises the target language text. Of significance is the translator’s young age, which is also revealed in the lexical items he chose. Thus the translation itself shows the translator’s influence on the final text.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".