Montréal, Bruxelles et Genève, trois ailleurs pour s’enrichir au contact de l’autre
Bibliographic record
Abstract
A l’heure de la mondialisation et de la disparition des frontieres, l’itineraire a travers ces differentes villes aide a prendre conscience de la diversite culturelle au sein de la continuite linguistique. Le parcours que nous presentons ici, fruit d’une reflexion partagee avec un groupe d’enseignants, constitue une approche interculturelle aux implications multiples. Fuyant l’homogeneite et les idees recues qui peuvent entraver les echanges, il ouvre la voie a des applications didactiques et offre des pistes pour aller a la rencontre de l’autre, tout en mobilisant la langue francaise dans toutes ses varietes. En s’adaptant aux demarches pedagogiques les plus diverses, cette perspective interculturelle s’ancre dans le Cadre Europeen des Langues et permet d’envisager le developpement des competences dans leur ensemble. A chaque professeur de moduler la formule selon sa sensibilite et ses objectifs et d’explorer de nouvelles voies vers un enrichissement reciproque.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".