Material School Landscape Through the Eyes of Recent Refugee-Background Children and Parents: A Photovoice Study
Notice bibliographique
Résumé
Background or Context: This visual ethnographic case study is part of a larger research project (2019–2023) that explores the multiplicities and complexities related to language, literacy, culture, and educational disparities among recently arrived refugees during their migration and resettlement experiences. The research took place in two adjacent multiethnic neighborhoods in a northeastern U.S. metropolitan area, where residents had limited or no access to technology, such as personal computers and home Wi-Fi. These neighborhoods were heavily populated by Bhutanese, Burmese, Karen, Sudanese, and Somali refugee arrivals. Purpose, Objective, Research Question, or Focus of Study: The purpose of this study is to investigate the perceptions of the material school landscape held by recent refugee-background parents and children in the United States. Two interrelated research questions were addressed in this study: (1) How did recent refugee-background parents and children make sense of their material surroundings in the school landscape? (2) How did they perceive the material school landscape in relation to their school practices pre- and post-resettlement? Research Design: This visual ethnographic case study is part of a larger research project (2019–2023) that incorporated community-based participatory research and ethnographic methods. Specifically, it employed photovoice to examine how recent refugee-background parents and children in the United States perceive the material school landscape. The study utilized narratives, visual materials, and photo-elicited interviews to capture their perspectives and experiences. Conclusions or Recommendations: This study demonstrates that the material school landscape is a site for cultural, academic, and social adaptation and integration for refugee-background parents and children. This landscape has evolved into a semiotic moment, capturing the essence of temporal, spatial, and individual mobility through its physical artifacts. The material school landscape works as an intricate temporal-spatial-material semiotic assemblage, shaping meaning-making with multifaceted layers in and through their practices. This study highlights that navigating this assemblage requires support dynamics from both nonhuman agents like the material school landscape itself and human agents like educators, school leaders, and the broader community.
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.
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 | 0,002 | 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 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».