L’éducation au vivre ensemble en Suisse : analyse des plans d’études et enjeux de formation
Bibliographic record
Abstract
Cet article propose un inventaire des usages de l’expression « vivre(-)ensemble » et de son correspondant allemand Zusammenleben à partir des versions modèles des deux principaux plans d’études en Suisse. Il dresse une cartographie du vivre ensemble en identifiant les parties des plans d’études dans lesquelles cette notion est mobilisée et les disciplines, objectifs et contenus auxquels elle est associée. Il propose en outre une analyse des enjeux et projets liés au vivre-ensemble d’une part pour en dégager les lignes principales et d’autre part pour en saisir des traductions locales. Enfin, l’article propose, à partir des résultats de notre recherche, une analyse de trois défis liés à l’éducation au vivre ensemble en contexte scolaire et de formation des enseignants.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.005 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".