Bibliographic record
Abstract
Nowadays self-translation remains a frequent practice in the literary field in Canada. A close reading of the self-translations done by Canadian writers such as Nancy Houston, Marco Micone or Patrice Desbiens allows to discover each author’s own vision of self-translation as a creative process. The aim of the paper is to determine, through a comparative analysis of excerpts from the two language versions of the play La Maculée/sTain (2012) and the latest bilingual novel La voix de mon père / My Father’s Voice (2015) by Fransaskois playwright Madeleine Blais-Dahlem, to what extent her self-translating practice guides the reading of the text. Examiningthe back and forth between the two versions of the same work will allow to delve deeper into the subject of the identity and privileged status of the translator (Tanqueiro 2009: 109, Saint 2018: 120), but also into the role and skills of the receiver of Madeleine Blais-Dahlem’s bilingual writings.
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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 | 0.003 | 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 | 0.004 | 0.016 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".