Narrating education: dialogical tools for interpreting adult literacy learners' accounts of school
Notice bibliographique
Résumé
The literature of emancipatory education frequently invokes dialogic co-operation. In this theorized pedagogy, personal narratives are often regarded as a “natural” tool for linking education with learners’ lives. Feminist and post-structuralist critiques have exposed difficulties with critical pedagogy’s “dialogical” imperative to speak out of personal experience, warning against narratives that cater to the desire to see learners as tragic or heroic victims in need of educational rescue. My own analysis suggests that claims about the educational value of learners’ personal narratives may often be based on impressionistic interpretations that need reassessing. In this thesis, I develop more nuanced and systematic methods for such reassessment grounded in Mikhail Bakhtin’s work. A range of data was collected at a suburban adult learning centre; here, I focus on interviews with five learners, all of whom were schooled in Canada and enrolled as adults in a high-school completion program. Analysis is informed by Bakhtin’s concept of dialogism, an interconnected set of concerns expressing the notion that discourse is always riddled with and responsive to what has already been and has yet to be spoken. The most obvious embodiment of this notion is a conversation, and the analysis begins by examining the genre of the “conversational” interview. Bakhtin argues that discourse is also double-voiced, dialogized by echoes of utterances made in other places and at other times, and the analysis moves on to examine, through the tracing of reported speech, how the learners’ accounts orient themselves to the already-spoken-about. Next, I examine the idea of the chronotope. Chronotopes are a useful tool for looking at how learners’ relationships to schooling and literacy are accounted for in terms of tacit conceptions of place and (especially) time, and also for examining what their narratives suggest about how things might have been or might yet be different. The analytical tools drawn from dialogism have proven richly insightful and have allowed me to trace subtleties in the dynamics that produce narrative. The questions and insights about narration generated here can be taken up in practice and extended in further research using “naturally occurring” data.
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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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 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 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 ».