Communicating primary school enrolment information to parents from non-English-speaking backgrounds
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Notice bibliographique
Résumé
This thesis investigates how enrolment and other important information on primary schools’ websites in metropolitan Sydney is communicated to parents from non-English speaking backgrounds. Education is crucial for integrating migrants’ children into a host society (Portes & Rumbaut, 2014), and parental involvement in schooling is strongly correlated with educational success (Lareau, 2000). However, for migrant parents to be involved in a meaningful way, they need linguistically accessible schooling information. In Australia, almost half (49%) of the population was either born overseas or has at least one parent born overseas. This has resulted in significant linguistic diversity, with 22.2% of the population reporting they speak a language other than English at home, and 16.6% of this group not speaking English fluently or at all (Australian Bureau of Statistics, 2017; Piller, 2018a, 2018b). Research has shown that educational attainment can be a powerful predictor of later occupational and financial success (Lareau, 2000, 2011; Portes & Rumbaut, 2001). The literature also shows that the lower parents’ socio-economic status, the harder it is for them to be involved in their children’s education (McCrory Calarco, 2018). As migrant status often coincides with low socio-economic status in metropolitan Sydney, education becomes particularly crucial to children of migrant parents and their integration and upward social mobility. The present study examines the issue of linguistic diversity and migrant integration using critical discourse analysis and thematic analysis of 30 linguistically and socioeconomically diverse primary school websites in metropolitan Sydney. It addresses the question of whether schools tailor their communications to accommodate the different linguistic demographics of their communities. The findings show a ‘blindness’ regarding linguistic diversity in that English is the primary means of communication, even when schools acknowledge that their student population is linguistically diverse. When translations are provided, a mismatch between the languages provided and the demographics of school communities can be observed. The findings illustrate how the monolingual mindset of the multicultural school found in previous studies (Ellis, Gogolin, & Clyne, 2010) is prevalent in the online discourse of linguistically diverse schools in Sydney. By comparing schools’ linguistic choices to the community’s linguistic demographics, this study provides crucial information regarding the efficacy of schools’ online communication with linguistically diverse parents. These findings have the potential to contribute to more equitable linguistic policies. For instance, they can help create linguistically inclusive schooling information that bridges the divide between the translations currently available on schools’ websites and the languages spoken by communities. Rectification of these linguistic discrepancies will help ensure all students receive equal educational opportunities by providing equitable access to schooling information, thereby giving them the best chance of later success in life.
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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 | 0,000 |
| 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 | 0,001 |
| 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 découle