La traduction des connaissances scientifiques en arabe : état des lieux, défis et perspectives
Bibliographic record
Abstract
Comme ce fut le cas dans le passé, la traduction est, pour le monde arabe, la voie royale pour accéder aux connaissances modernes. Aussi l’état de la traduction de et vers l’arabe est-il d’actualité depuis deux décennies. Cette contribution confronte diachroniquement les différents états des lieux de ce transfert. Elle cherche à mettre au jour les obstacles qui entravent son épanouissement tout en plaçant sa problématique dans un contexte socioéconomique et politique. L’héritage culturel arabe de jadis étant inadéquat pour le XXIe siècle, cette étude souligne l’importance /de s’inspirer des expériences réussies des autres nations modernes pour traduire les savoirs actuels.
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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 | 0.024 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.008 | 0.022 |
| Scholarly communication | 0.015 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".