Learning as Socially Organized Practices: Chinese Immigrants Fitting into the Engineering Market in Canada
Notice bibliographique
Résumé
My research studies immigrants’ learning experiences as socially organized practices. Informed by the sociocultural approach of learning and institutional ethnography, I treat learning as a material and relational phenomenon. I start by examining how fourteen Chinese immigrants learn to fit into the engineering market in Canada. I then trace the social discourses and relations that shape immigrants’ learning experiences, particularly their changing perceptions and practices and personal and professional investments. I contend that immigrants’ learning is produced through social processes of differentiation that naturalize immigrants as a secondary labour pool, which is dismissible and desirable at the same time. My investigation unfolds around four areas of learning. The first is related to immigrants’ self-marketing practices. I show that core to immigrants’ marketing strategies is to speak to the skill discourse or employers’ skill expectations at the “right” time and place. The skill discourse, I argue, is culturally-charged and class-based. It cloaks a complex of hiring relations where “skill” is discursively constructed and differentially invoked to preserve the privilege and power of the dominant group. The second area is immigrants’ work-related learning. I find that workplace training is part of the corporate agenda to organize work and manage workers. Amid this picture, workers’ opportunity to access corporate sponsorship for professional development is contingent on their membership within the engineering community. To expand their professional space, the immigrants resorted to learning and consolidating their knowledge in codes and standards, which serve as a textual organizer of engineering work. The third area is related to workplace communication. My participants reported an individualistic communication ‘culture’, which celebrates individual excellence and discourages close interpersonal relations. Such a perception, I argue, obscures the gender, race and class relations that privilege white and male power. It also leaves out the organizational relations, such as the project-based deployment of the engineering workforce that perpetuate individualistic communicative practices. My last area of investigation focuses on immigrants’ efforts to acquire Canadian credentials and professional licence. Their heavy learning loads direct my attention to the ideological and administrative licensure practices that valorize Canadian credentials and certificates to the exclusion of others.
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 | 0,011 |
| 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 | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».