Projet de dictionnaire interactif multilingue de termes médicaux
Bibliographic record
Abstract
L'eclosión des nouvelles technologies a été un événement décisif pour le développement du génie linguistique, spécialement pour la fabrication des outils didactiques d'apprentissage des langues étrangères. L'existence d'un dictionnaire spécialisé en langues scientifique ou technique peut contribuer à un apprentissage des aspects lexicologiques et terminologiques et assurer une acquisition plus efficace d'une langue étrangère. C'est l'objectif prioritaire de notre recherche. Nous présentons notre projet de fabrication d'un dictionnaire interactif multilingue (portugais, français et anglais) de termes médicaux dans le domaine de la sénologie (maladies du sein). Nous décrivons quelques aspects de la méthodologie utilisée, assistée par des outils informatisés, tels que les bases de données textuelles et terminologiques.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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; a candidate call from one teacher head, 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".