Conséquences didactiques et théoriques du caractère conventionnel et arbitraire de la traduction des unités phraséologiques
Bibliographic record
Abstract
La traduction des unités phraséologiques (UP) est arbitraire parce que l’équivalence sémantique représente toujours une solution acceptable. Elle est aussi conventionnelle aux deux sens sémiotiques de l’adjectif, c’est-à-dire par relation de référence ou de correspondance, et par calcul sémiotique du sens ou équivalence. Ces caractéristiques de la traduction des UP exigent des méthodes d’enseignement favorisant l’analyse du sens des UP qui s’appuie sur leur délimitation dans la phrase et sur celle de leurs éléments constitutifs. La démonstration du caractère conventionnel de la traduction des UP montre que même si la correspondance et l’équivalence s’opposent en théorie, ces deux procédés peuvent servir en pratique à la traduction d’un même segment linguistique.
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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 | 0.015 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.027 |
| Scholarly communication | 0.008 | 0.015 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.010 | 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".