Positionnement épistémologique de la traduction scientifique et technique, notion d’objectivité et implications pédagogiques
Bibliographic record
Abstract
La notion d’objectivité dans la réalisation d’une traduction scientifique et technique est un critère fondamental. Pour étudier cet élément de la démarche scientifique, nous positionnons l’opération traduisante sur un axe épistémologique. Cette opération est à la croisée des chemins entre positivisme et constructivisme, tout particulièrement lorsque l’on étudie deux éléments de sa méthode, la relecture et la révision. La rigueur dans la démarche d’un traducteur passe par des questionnements qui mènent à la connaissance. Il atteint un niveau de conscience suffisant pour mener à bien sa tâche et il applique ainsi une démarche proactive aux implications enseignables.
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 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 | 0.046 | 0.042 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.010 | 0.008 |
| Science and technology studies | 0.007 | 0.067 |
| Scholarly communication | 0.030 | 0.024 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.006 | 0.013 |
| Insufficient payload (model declined to judge) | 0.006 | 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".