Bibliographic record
Abstract
Lors de sances de correction par les pairs en gnie logiciel (matrise et baccalaurat), nous utilisons, depuis un an, un PC tablette afin d'valuer dans quelle mesure une utilisation simple de cette technologie suscite une plus grande participation des tudiants, des corrections de meilleure qualit et, par consquent, une exprience de rvision technique plus enrichissante. Les logiciels de prsentation spcialiss Smart Notebook et Classroom Presenter ont t utiliss . Globalement, l'utilisation de cette technologie a permis d'augmenter la participation des tudiants et d'amliorer la qualit des commentaires. En effet, l'encre lectronique favorise les mises en relief labores, ce qui simplifie les retours en arrire, tandis que le logiciel de prsentation facilite les interactions en offrant un meilleur accs aux solutions commentes qui peuvent ensuite tre enregistres de manire permanente .
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 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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".