L’échelledes Niveaux de la Déverbalisation Représentés dans L’interprétation Simultanée
Bibliographic record
Abstract
La confrontation des temoignages negatifs et positifs concernant la deverbalisation nous incite a adopter une perspective communicative differente de celles repetees dans les etudes effectuees. La presente etude se concentre sur une notion originale qui est les niveaux de la deverbalisation representes dans l’interpretation. Bases sur une analyse comparative entre le discours d’origine et celui d’arrivee extrait de deux seances de l’interpretation simultanee sur le plan quantitatif et qualitatif, nous etablissons une echelle des niveaux de la deverbalisation qui se compose de six niveaux: niveau 4 (deverbalisation complete), niveau 3 (deverbalisation flexible), niveau 2 (deverbalisation partielle), niveau 1 (deverbalisation parallele), niveau 0 (transcodage), niveau moins 0 (deverbalisation infaisable/fausse).
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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 | 0.011 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.013 | 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".