Knowledge economy discourses and language regulation : an analysis of policy processes in adult English language education in Canada
Notice bibliographique
Résumé
This thesis examines the policy processes, social and power relations, and textual practices that have come to regulate English language education and assessment of internationally educated professionals (IEPs) who immigrate to Canada. During migration and settlement processes, IEPs whose first language is not English undergo assessment of their English language abilities before they can begin practicing in their professional field. Within discourses of building a global knowledge economy, where knowledge workers move across national borders and are expected to demonstrate English language proficiency, variation in communicating in English is constructed as a problem. Different ways of speaking English can become a barrier to labour market integration for IEPs. The Canadian government’s policy response to this problem has been the development of a competency-based language framework to regulate and standardize the assessment of immigrants’ English language proficiency. This study analyzes the tensions and struggles involved in standardizing and regulating the English language and its assessment in relation to knowledge economy discourses. Employing Dorothy E. Smith’s (2005) institutional ethnography, key reports and policy documents (e.g. The Canadian Language Benchmarks) were analyzed. The study then explored the experiences of language experts (the researchers/consultants, teachers, and provincial government administrators) who are responsible for profiling the English language demands of various professions (e.g. nursing, engineering, accounting) for the development and implementation of profession-specific language exams and programs. The study documented competing interests and conflicting worldviews on the purposes and processes of English language assessment. It also analyzed how textual practices were informed by knowledge economy discourses. The findings contribute to existing research on foreign credential recognition by demonstrating how the power relations and dominant discourses embedded in policy processes of language assessment significantly contribute to the (non)-recognition of IEPs’ professional knowledge and skills. The study also contributes to the limited research on the CLB by focusing on the labour market integration of IEPs in relation to knowledge economy discourses. Finally, the findings contribute to theoretical and empirical research in which language is understood as a social practice, drawing attention to the problematic of standardizing language and assessment practices in work and professional contexts.
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 | 0,000 | 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 | 0,001 |
| 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 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 ».