De l’interdisciplinarité à l’inter-épistémê. Le cas d’une formation interdisciplinaire de troisième cycle en gérontologie
Bibliographic record
Abstract
L’article porte sur la représentation des premiers diplômés et doctorants d’un programme de formation doctorale en gérontologie sur la place de la composante interdisciplinaire dans leur cursus. Celle-ci est représentée comme une source d’enrichissement personnel et professionnel pour les étudiants, essentielle à la compréhension en profondeur des phénomènes complexes qui émergent du vieillissement et à la constitution d’une perspective gérontologique. La condition fondamentale favorable à cet effet semble être la constitution dans le cadre des séminaires d’un espace inter-épistémologique de formation qui a su se prolonger dans l’ensemble des activités du lieu de formation.
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.050 |
| Scholarly communication | 0.015 | 0.015 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.004 | 0.006 |
| 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".