Knowledge mobilisation in education in Canada and the role of universities
Notice bibliographique
Résumé
Introduction This chapter is organised around different dimensions related to research mobilisation in Canada, with a focus on the field of education and the role of universities. Major features of Canada as a country are described first to serve as a background to the chapter. The next section introduces the role of government, including current research funding agencies in Canada and issues of research quality indicators and research capacity building. Next, the chapter focuses on the strategies and mechanisms currently used by universities to share their research. The chapter concludes with a discussion about the key debates and considerations around education research mobilisation and identifies some unresolved issues that might help guide future research. Overview of Canada Canada is the world's second largest country in area. Canada is a large, rich, geographically and demographically diverse country with an advanced industrial and service economy. The term ‘cultural mosaic’ is commonly used to describe the multicultural nature of Canadian society. Canada has one of the highest immigration rates in the world (more than 1% per year). Nearly 20% of Canadians were born outside the country, a proportion that is increasing steadily, and these immigrants come from all parts of world (www12.statcan.ca/censusrecensement/ 2006/as-sa/97-557/p2-eng.cfm). People who come from different origins and cultural groups are able to retain their religions and customs as well as languages. Canada also has a high-achieving education system, consistently among the highest-ranking countries on international assessments such as PISA (Programme for International Student Assessment) or PIRLS (Progress in International Reading Literacy Study). Mandatory school age for young people is from 5–7 to 16–18 years old depending on the province. The adult literacy rate is 99%, although Canada does not score as highly on international assessments of adult literacy as it does for school-age skills (Conference Board of Canada, www.conferenceboard. ca/hcp/details/education.aspx). English and French are both official languages at the federal level. Canada has a federal political system. Power is divided between the federal government and provincial or territorial governments. Canada's provinces range in size from Ontario, with 13 million people, to Prince Edward Island, with about 200,000 people; the territories have even smaller populations.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».