Parcours et réussite aux diplômes universitaires : les indicateurs de la session 2013
Bibliographic record
Abstract
English:This summary note presents the main indicators for the trajectories and pass rates for University students: rates of transition from L1 to L2 (first to second years of a Bachelor's degree) and from M1 to M2 (first to second years of a Master's degree), rates of obtaining a Bachelor's degree, Master's degree and University technology diploma (DUT). It is accompanied by the publication of these indicators broken down per university (see box). This information is published for the third consecutive year. The results for the 2014 session should be available in the second quarter of 2016.Français:Cette note de synthèse présente les principaux indicateurs sur le parcours et la réussite des étudiants à l'Université : taux de passage de L1 en L2 et de M1 en M2, taux d'obtention de la Licence, du Master et du DUT. Elle est accompagnée de la publication de ces indicateurs déclinés par université (voir encadré). Ces informations sont publiées pour la troisième année consécutive. Les résultats de la session 2014 devraient être disponibles au deuxième trimestre 2016.
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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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.037 | 0.010 |
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".