The animality of the protagonists’ discourse in English and French translations of the play "Le Chien" by Jean-Marc Dalpé
Bibliographic record
Abstract
The oral character inherent to a theatre and the hybrid or multilingual character of modern French Canadian literature invests it with functions that pertain strictly to the spoken word and that translator must take into account. This paper examines translation strategies proposed and applied in English and Standard-French translations of the play "Le Chien", written by Franco-Ontarian playwright Jean-Marc Dalpé. In the play "Le Chien" the hybrid character of language and abundance of swearwords constitutes a symptom of inability to communicate of protagonists and animality of their discourse. This specificity, crucial in terms of interpretation of the play, is the major obstacle in translator’s work because he needs to target the specific, English and French-speaking audience which is unilingual and doesn’t have the same cultural experience.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.006 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| 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; both teacher heads agree on what is shown here.
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".