Traduction de «Mrs. Golightly and Other Stories» d'Ethel Wilson suivi de «Ethel Wilson : l'absurde simplicité du quotidien»
Bibliographic record
Abstract
The first part of this Master's thesis consists of the translation into French of five stories taken from Canadian author Ethel Wilson's (1888-1980) Mrs. Golightly and Other Stories first published in 1961. To date, this author who has garnered much praise does not appear to have been translated into French. The second part which comprises the critical section will open with the statement and presentation of the translation policy that underscored the translated text. We have drawn primarily on the theories of Antoine Berman and Barbara Folkart to elaborate a policy that takes a literal approach (Berman) with "subjective" underpinnings, in accordance with Folkart's wish to acknowledge the translating agent's subjectivity and have it be brought to the forefront of the translating act. Secondly, a number of translation problems that we encountered during the translation process and that raised specific issues will be examined and analyzed.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 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".