Theorizing Praxis in Citizenship Learning: Civic Engagement and the Democratic Management of Inequality in AmeriCorps
Notice bibliographique
Résumé
Over the last twenty years, the academic work on citizenship education and democracy promotion has grown exponentially. This research investigates the United States federal government’s cultivation of a ‘politics of citizenship’ through the Corporation for National and Community Service and the AmeriCorps program. Drawing on Marxist-feminist theory and institutional ethnography, this research examines the ways in which democratic learning is organized within the AmeriCorps program through the category of ‘civic engagement’ and under the auspices of federal regulations that coordinate the practice of AmeriCorps programs trans-locally. \nThe findings from this research demonstrate that the federal regulations of the AmeriCorps program mandate a practice and create an environment in which ‘politics,’ understood broadly as having both partisan and non-partisan dimensions, are actively avoided in formalized learning activities within the program. The effect of these regulations is to create an ideological environment in which learning is separated from experience and social problems are disconnected from the political and material relations in which they are constituted. Further, the AmeriCorps program cultivates an institutional discourse in which good citizenship is equated with participation at the local scale, which pivots on a notion of community service that is actively disengaged from the State. \nThrough its reliance on these forms of democratic consciousness, the AmeriCorps program engages in reproductive praxis, ultimately reproducing already existing inequalities within U.S. society. The primary elements of this reproductive praxis have been identified as ‘a local fetish’ and the ‘democratic management of inequality.’ The local fetish refers to the solidification of the local as the preferential terrain of democratic engagement and is characterized by an emphasis on face-to-face moral relationships, local community building, and small-scale politics. The democratic management of inequality refers to the development of discursive practices and the organization of volunteer labor in the service of poverty amelioration, which is in turn labeled ‘good citizenship.’ This research directs our attention to a more complicated notion of praxis and its relationship to the reproduction of social relations. Also, this research brings into focus the problem of the conceptualization of civil society and its relationship to democracy and capitalism.
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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 | 0,001 | 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) | 0,001 | 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.
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