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Enregistrement W3096700696 · doi:10.11575/prism/38349

Settlement and Integration Needs of Skilled Immigrants in Calgary: A Mixed Methods Study

2020· dissertation· en· W3096700696 sur OpenAlexaboutno aff
Vibha Kaushik

Notice bibliographique

RevuePRISM (University of Calgary) · 2020
Typedissertation
Langueen
DomaineSocial Sciences
ThématiqueMigration and Labor Dynamics
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSettlement (finance)ImmigrationMultimethodologyDemographic economicsGeographySociologyEconomicsArchaeologyComputer scienceSocial scienceWorld Wide Web

Résumé

récupéré en direct d'OpenAlex

There is a significant body of scholarship on the settlement and integration of immigrants in Canada. However, most knowledge in this domain comes from government and stakeholders’ reports that are based on input from immigrants in general. This information does not focus specifically on skilled immigrants, nor does it include those in the service sector responsible for service provision of this population. Importantly, there is limited academic research available in this domain. Currently, Alberta is experiencing a unique economic climate. Most economic indicators suggest that from 2015 to 2016, Alberta experienced the worst recession in a generation, caused by the steepest and most prolonged oil price shock in Canadian history. Broader economic trends show that the integration of immigrants is affected by the economic conditions they face in their host countries. Further, there is evidence that immigrants who arrive during unfavourable economic conditions experience a permanent disadvantage in integration. Therefore, the settlement and integration of skilled immigrants warrant explicit attention at this critical point in time. Calgary is the largest city in Alberta. Not only do many immigrants arriving in Alberta choose to settle in Calgary, it is also the fourth most sought-after destination for immigrants in Canada. With an increasing number of immigrants arriving in Calgary to work and live, there is a need to better understand how immigrant services in the city support skilled immigrants and contribute to create a positive environment for their settlement and integration in Calgary. The purpose of this study was to understand the settlement and integration needs of skilled immigrants in Calgary and to identify if there are any needs that are not addressed by the services offered by the major immigrant serving agencies in the city. Primarily, the focus of the study was (1) to understand the settlement and integration needs of skilled immigrants in Calgary and (2) to identify if there are gaps in the settlement and integration services for skilled immigrants in Calgary. The study employed a convergent parallel mixed methods design in which qualitative data provided an in-depth exploration of the settlement and integration needs of skilled immigrants in Calgary as understood by immigrant serving agencies in the city, and the quantitative data focused on gaining an understanding about the areas of unmet settlement and integration needs as experienced by skilled immigrants in Calgary. I conducted 10 interviews with immigrant services providers in Calgary to collect qualitative data and analyzed the data using thematic analysis. For the quantitative analysis, I collected 120 survey responses from skilled immigrants who were residents of Calgary and who came to Canada under the Federal Skilled Worker Program. I performed chi-square analysis to reveal any significant relationship between survey items. Findings enhance our understanding of challenges faced by skilled immigrants in Calgary, identify the needs experienced by skilled immigrants in facing those challenges, highlight the gaps in the existing social services, and inform the development and implementation of effective settlement services and programs for skilled immigrants in Calgary.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut 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 enseignants0,262
Score d'incertitude au seuil0,977

Scores Codex et Gemma par catégorie

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

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 Opus0,012
Tête enseignante GPT0,292
Écart entre enseignants0,281 · 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 tête enseignante, 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

Citations2
Publié2020
Routes d'admission1
Résumé présentoui

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