Exemple de coopération franco-québécoises : la réalisation d’un cours sur la pollution marine dans le cadre de l’agence universitaire francophone
Bibliographic record
Abstract
Un cours virtuel (http://www3.uqar. uquebec.ca/jpellerin/seme/) a été conçu pour les francophones du monde entier et proposé avec différents cheminements pour des formations spécialisées ou finalisées. Le cours est composé de 20 modules couvrant les notions indispensables pour la compréhension de l’environnement marin, de la pollution marine et des outils de biosurveillance. Les chercheurs impliqués dans cette réalisation provenaient du Québec (J. Pellerin), de France (J.-C. Amiard), de Tunisie (P. Aïssa) et de Mauritanie (Z. Sidoumou). Nous avons profité de l’expérience de chacune des équipes en environnement (enseignement et recherche) pour concevoir des modules qui, par leurs exemples, mises en situation et études de cas, s’adaptent aux étudiants provenant de différentes cultures et subissant des problèmes environnementaux différents selon que leur pays soit en zone tempérée, subtropicale ou tropicale.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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 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".