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Enregistrement W7000499821

Exploring the Determinants That Contribute to and Promote the Wellbeing of Immigrant and Refugee Children in Canada

2024· dissertation· en· W7000499821 sur OpenAlexaffabout

Notice bibliographique

RevueUWSpace (University of Waterloo) · 2024
Typedissertation
Langueen
DomainePsychology
ThématiqueMigration, Health and Trauma
Établissements canadiensPublic Health Ontario
Organismes subventionnairesnon disponible
Mots-clésRefugeeImmigrationPsychosocialMental healthContext (archaeology)StressorPerception
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

In 2023, Canada’s new Immigrant Levels Plan was introduced to support Canada’s economic recovery and growth, reunite families, and respond to humanitarian crises. As a result, Canada will welcome over 480,000 new immigrants annually during 2024-2026 including many families with children and youth. To date, most research with immigrant and refugee children has focused on the negative impacts of migration stressors over the factors that can support their wellbeing. Further, few studies include children as research participants despite the fact that children can play an active role in studies that examine issues affecting them. Rather, studies focused on children’s experiences are based on the perspective of institutions and adults. As such, the overall aim of this dissertation is to examine the determinants that contribute to and promote the wellbeing of immigrant and refugee children in Canada, considering their perceptions and subjective experiences. To meet this aim, this dissertation includes four papers, described below. \nPaper I is a scoping review, following Arksey and O’Malley’s methodology, that aimed to understand the psychosocial needs of resettled immigrant and refugee children and youth in Canada in the context of their school and community, and to identify the characteristics of school-/community-based mental health programs for this group. The findings of this review make contributions to the literature in terms of identifying approaches, particularly collaborative care models, school-community-family partnerships, and school-based creative expression programs, to addressing mental health issues in immigrant and refugee children and youth. Furthermore, this scoping review informed the methodology used in Paper II as it highlighted the value of using creative expression methods when working with immigrant and refugee children. \nPaper II, the empirical paper of this dissertation, used a multi-method qualitative approach, namely the Mosaic methodology, to explore and identify the determinants that contribute to and promote the wellbeing of immigrant and refugee children aged 6-13 settled in Canada. In this paper, I focused on immigrant and refugee children from the Middle East and North Africa (MENA) region, taking into account that Canada has resettled a large number of refugees from this region in recent years (over 120,000 from 2015 to 2023). Considering the multi-method approach of the Mosaic methodology, I used a visual method (drawing) combined with a verbal method (interviews) to collect data from children (n=16) and their parents (n=9). This study was informed by the social-ecological framework that considers a child within the context of family, community, and broader society. Accordingly, the findings of this study suggested that immigrant and refugee children’s wellbeing is influenced by individual characteristics, relationships with their surroundings, and organizational/community factors. Further, the results showed that wider societal policy and practice changes are necessary to enhance the wellbeing of this group. \nDrawing upon the findings of Paper II, Paper III examined and demonstrated the use of a multi-method approach in research with immigrant and refugee children in a virtual setting, making a methodological contribution to the literature. This methodological paper emphasized the importance of listening to children and involving them as active participants in research studies by using creative visual combined with traditional verbal methods to collect data from this group. This paper provides practical guidance for using a multi-method approach in research with immigrant and refugee children in a virtual setting. \nGiven the findings of Paper II, the conceptual paper of my dissertation (Paper IV) aimed to extend the PERMA model of wellbeing, a framework developed within a Western context and has five constructs: Positive emotions, Engagement, Relationships, Meaning, and Accomplishment, to respond to the needs of immigrant and refugee children of colour from the MENA region. This framework has been used to study and evaluate individuals’ wellbeing, however, its current constructs may not adequately represent the views and experiences of people with marginalized identities, such as racialized children and newcomers from non-Western nations. The findings of Paper IV contribute to the existing literature on wellbeing by identifying two new components, C for cultural and religious identity and S for safe and peaceful environment, to be added to the PERMA model of wellbeing (titled the PERMA-CS). The extended model can be used as a framework for research with immigrant and refugee children from the MENA region who resettled in a Western context, a novel population for this model. \nIn summary, through conducting a scoping review and a qualitative study that used a multi-method approach, I provide empirical, methodological, and conceptual contributions that will support the promotion of wellbeing of immigrant and refugee children in Canada. In particular, this thesis contributes to the literature by empirically identifying the factors that influence and promote the wellbeing of immigrant and refugee children in Canada. Moreover, the methodological approach of this thesis furthers our understanding of the use of a multi-method approach in research with immigrant and refugee children in a virtual setting. Additionally, my thesis makes conceptual contributions to the literature by proposing a framework of wellbeing that builds on a previously defined model.

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 machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,007
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,054
Score d'incertitude au seuil0,395

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,007
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,005
Études des sciences et des technologies0,0110,005
Communication savante0,0070,002
Science ouverte0,0010,004
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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.

Tête enseignante Opus0,017
Tête enseignante GPT0,233
Écart entre enseignants0,215 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission2
Résumé présentoui

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Même revueUWSpace (University of Waterloo)→Même sujetMigration, Health and Trauma→Travaux en français237 207→