POLICY NETWORKS AND COMMUNITIES IN THREE WESTERN CANADA UNIVERSITIES: NEO-INSTITUTIONAL RESPONSES TO A PAN - INSTITUTIONAL ISSUE
Pourquoi ce travail est dans la base
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Notice bibliographique
Résumé
The purpose of this study was to describe, analyze and provide and understanding of the \nprocess of policy making on an ill-defined pan institutional issue (teaching and learning \ntechnology) within three western Canadian universities in two western Canadian \nprovinces. \nThe conceptual framework informing this study was Coleman & Skogstad and Atkinson \n& Colman's policy network and community model. More abstract organizational \ntheoretical frameworks provide the basis for a post hoc interpretation of the policy \nfindings, where post critical social organization models provide a basis for further \ndevelopment of the framework capacity. \nThe study was conducted in and around three large universities or cases from a potential \nsample of over 100,000 actors. The description, analysis and interpretation of the policy \nmaking process in these cases was conducted at the actor (micro), institution or sector \n(meso) and macro (policy environment) levels. The focus was on the changing \nuniversity policy leadership found within a disaggregated state, where a broad policy \ndevelopment community was defined. Within that community, small, relatively closed \npolicy making networks were found. To create these networks, influential actors \ncoalesced from across university departments and colleges, from government agencies \nand from the administration and faculty chambers. The emergent patterns and the \ncharacteristics of these influential relationships among key policy makers, including \ninstitutional and government actors, was described and interpreted to gain a greater \nunderstanding of the autonomy and capacity of these networks as they responded to the \npressing issue of teaching and technology in today's changing university. \nAnalysis of these policy networks and communities suggests that the policy issue of \nteaching and learning technology activated actors to form certain types of relationships. \nIn the Saskatchewan case, the network emerged because low capacity and low autonomy \nactors believed that the institution needed to be seen to be keeping up with technology. \nIn the Alberta case, the networks emerged because the actors believed that the institution \nhad to increase its market share. In all cases, the networks discovered were small and \nrelatively closed to the policy community. \nFurther interpretation found that in the Saskatchewan case, stable policy networks \norganized their interests objectively with the government in a weak and codependent \npressure pluralist network. In the Alberta case, policy networks were found to organize \ntheir interests more subjectively, creating a tight concertation network positioned to \ncapture targeted government funding. A comparison of the types of policy networks and \npolicy environments found that, though university faculty members have autonomy by \nAct and collective agreements, some networks chose to organize their interests \nhierarchically and to become codependent, while other networks maintained high \nautonomy and high capacity by exercising certain key policy development \ncharacteristics. \nIn all cases, the policy development process was found to be leaderless. The significance \nof the study is that this conceptual framework does provide university sector leadership \nscholars with an understanding of ill defined, pressing pan-institutional issue \norganization in large modern universities.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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) | 0,000 | 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 découle