Améliorer les programmes canadiens de sciences et technologies au primaire par l’ajout de compétences du 21e siècle
Bibliographic record
Abstract
Dans cet article, nous presentons les resultats d’une synthese des connaissances visant a decrire les competences du 21e siecle, les competences de durabilite et les competences en technologies d’information et de communication (TIC) que les chercheurs considerent comme essentielles a developper chez les travailleurs de la societe actuelle. Il s’agissait aussi de relever, parmi ces competences, celles qui figurent dans les programmes de sciences au primaire des provinces canadiennes. Certaines competences recommandees pour oeuvrer dans le monde contemporain se retrouvent peu dans les programmes etudies : creation et resolution de problemes avec les TIC, entrepreneuriat, gestion, action strategique, adaptabilite, pensees systemique, connective et prospective… Nous proposons des pistes pour inserer ces nouvelles competences dans les programmes de sciences.
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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 | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; 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".