Ateliers
Bibliographic record
Abstract
Contexte : Nous avons dvelopp, partir du concept bien connu de speed dating (France : drague acclre ; Office de la langue franaise du Qubec : rencontres clairs), une mthode d'enseignement amusante mais nanmoins trs efficace pour stimuler le partage des connaissances lors d'une formation de groupe. La mthode, surnomme rencontres clairs pdagogiques (REP) par les auteurs, a t qualifie de stimulante par les participants qui en ont fait l'exprience. Ces rencontres offrent une occasion formelle de partager efficacement les problmes pratiques et les objectifs d'apprentissage. Elles permettent de rencontrer de nouveaux collgues et d'apprendre d'eux, les aident identifier des perspectives de collaborations futures et des solutions novatrices. Les REP sont modulables en fonction des objectifs pdagogiques et permettent l'organisation d'activits de formation qui gnrent les rsultats dcrits plus haut.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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; both teacher heads agree on what is shown here.
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".