L’accès aux ressources d’une formation guidé par des ontologies
Bibliographic record
Abstract
Beaucoup de ressources sont mises à contribution pour supporter une formation de type e-learning. L’un des objectifs du projet MEMORAe est de rendre ces ressources plus accessibles aux apprenants. Ce projet propose une approche fondée sur une mémoire organisationnelle de l’ensemble des notions et des ressources de la formation. Un principe est d’indexer ces ressources sur les concepts d’ontologie. Nous décrivons les moyens déployés à cette fin. Nous présentons les scénarios par lesquels les apprenants accèdent aux connaissances en parcourant ces ontologies. Enfin, nous illustrons notre propos à l’aide de deux applications actuellement mises en place en université.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".