Bibliographic record
Abstract
Né de la collaboration entre deux enseignantes du Québec et de la Belgique, le site pédagogique Mosaïque [http://mosaique.cstfelicien.qc.ca] permet à des étudiants en Techniques du milieu naturel, option Protection de l’environnement, en Soins infirmiers et en Écologie sociale de travailler en équipes transdisciplinaires et internationales pour résoudre des problèmes et des cas complexes à travers l'éclairage de leur programme respectif. Le partage des connaissances qui en résulte permet non seulement aux étudiants d'approfondir leurs connaissances, mais de redistribuer le fruit de leur travail aux futures cohortes d'étudiants, lorsqu'ils ajoutent leurs pièces à la mosaïque. Une posture socioconstructiviste, l’utilisation des technologies de l’information (TI), le travail d’équipe dans une perspective d'apprentissage par problèmes, le passage du disciplinaire au transdisciplinaire et l’ouverture à la collaboration internationale sont les ingrédients qui, une fois assemblés, font l’originalité du site Mosaïque. Les étudiants ont désormais à leur portée un outil supplémentaire pour apprendre sans frontières de disciplines, de programmes ou de pays.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.059 | 0.006 |
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".