Campus in the Country: Community College Involvement in Rural Community Development
Notice bibliographique
Résumé
This study is an investigation into college involvement in rural community development through an examination of three cases in eastern, western and northern Canada where this work was reported to be going well. The inquiry revolved around what colleges do, that is, what kinds of approaches and projects are undertaken, how this work is supported or constrained, how college staff are recruited and trained for this work, and how well it is being done, or how success is defined and evaluated. The observations from these cases were compared with relevant research around the roles of community colleges, the nature of rural challenges, and the field of community development. Community development revolves around increasing the skills, knowledge, and abilities of residents, and building the ability of the community to respond to changing circumstances. \nThe cases in this study were in contexts of resource industries in transition, usually related to trends in economic globalization. The communities were also impacted by their distance from urban economic and political centres. As community needs were identified, it was apparent that economic and social challenges were inter-related, and that available opportunities required specialized workforce training or retraining, as well \niii \nas supports for business development. Although community development activities were not well supported by public policy and programs, the colleges were involved in a wide range of development approaches, some embedded into regular college operations, and others specifically organized for particular purposes. \nTheories of forms of capital, particularly those based on the writings of Bourdieu (1986, 1993) enhance the understanding of college involvement in rural community development. College staff, particularly rural campus managers, took the lead in community work, and relied heavily on their connections and networks, or social capital, as well as “border knowledge”, or local cultural capital, to facilitate community projects. However, the reliance on local social and cultural capital was often associated with the neglect of some important groups and issues. But overall, in spite of many challenges, these colleges were key players in their communities and demonstrated the value of the diverse and flexible roles that community colleges can play.
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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 | 0,003 | 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 | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».