Being me in Canada: Multidimensional identity and belonging of Russian-speaking immigrant youths
Notice bibliographique
Résumé
Although recent attention has focused on the experiences of immigrants in Canada, few researchers have explored the experiences of invisible immigrants, and Russian-speaking immigrants in particular, whose invisible nature may impact their identity and sense of belonging following their arrival in Canada. Specifically, they may not necessarily integrate with white mainstream Canadians, but they may also not fit in with their visible minority immigrant peers. Moreover, Russian-speaking immigrants often take an indirect path to Canada which may, in turn, have unique contributions to their acculturation experiences which may fit outside of current bicultural models of acculturation. The current study’s focus on immigrant youths is due to the developmental importance of identity and belonging during this time period. Moreover, the role of context in identity and sense of belonging, including peers and politics, will be explored as both factors have been overlooked in past research. Using constructivist grounded theory methodology, semi-structured interviews were conducted with 24 decimal- and second-generation Russian-speaking immigrant youths (15 to 19 years of age). A substantive theory of the identity and belonging of these youths was developed. Results indicated that the processes youths engaged in were multidirectional, flexible, and dynamic. At the core of the framework were three processes: choosing identities, expressing identities, and fitting in. The results of identity and belonging were often multidimensional, with youths choosing from and expressing more than one identity, and experiencing a sense of belonging with one or more groups. In order to facilitate these processes, youths navigated their context, with a particular focus on family, peers, community, politics, and immigration experiences. The youths’ experiences in navigating the context were both positive and negative which had an impact on their consequent identity and belonging. This study was one of first to consider the multidimensional nature of identity and belonging among immigrant youths, accounting for factors such as invisibility, indirect migration, and religious/cultural minority identities. Moreover, this study explored overlooked contextual factors such as peer group experiences (positive and negative, in-school and out of school, in-group and out-group) and the political context (multiculturalism and political conflict). Implications for research and practice are discussed.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,009 | 0,003 |
| Communication savante | 0,004 | 0,001 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,002 |
| 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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), 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 ».