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Enregistrement W6940628081 · doi:10.11575/prism/39457

Meeting the Settlement and Integration Needs of Highly Skilled Economic Immigrants: The Role of Gateway Alberta in Enhancing Newcomer Settlement and Integration Services in Calgary

2020· other· en· W6940628081 sur OpenAlexaboutno aff

Notice bibliographique

RevueOpen MIND · 2020
Typeother
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueMycorrhizal Fungi and Plant Interactions
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSettlement (finance)Government (linguistics)General partnershipWork (physics)PopulationCitizenshipGateway (web page)Immigration

Résumé

récupéré en direct d'OpenAlex

About one in five Canadians is a former immigrant.1 In 2019, Canada welcomed over 340,000 permanent residents, 43,000 of whom came to Alberta.2 Starting in 2021, Canada proposes an ambitious plan to welcome even more permanent residents to Canada, increasing Canada’s population by more than 1 per cent every year for the next three years.3 Newcomers are an integral part of Canada; they support the local economy in towns and cities across the country by filling employment gaps and contributing their knowledge, skills and experiences to the community. Educated, skilled economic newcomers allow Canada to build its future economic capacity to address a shrinking labour force in the country. To help newcomers integrate in Canada, achieve their full potential and participate in the labour market and in society, the Government of Canada supports newcomers through settlement and integration services. The Settlement Program is characterized by a public-private partnership between the Department of Immigration, Refugees and Citizenship Canada (IRCC), provinces and territories, municipalities and many partner organizations. Settlement services are delivered by a network of local organizations and service providers to all newcomers arriving in Canada, removing barriers to their full participation in life and work in Canada and providing them with the tools needed for a smooth and fast integration into their new home – Canada. To evaluate the success of its Settlement Program, the IRCC developed a Performance Measurement Strategy. The Strategy outlines some immediate and intermediate desired outcomes of newcomer settlement and integration, including newcomers’ labour market participation and income, their ability to use the official languages, their uptake of services, participation in the community and the program’s ability to meet and adapt to their needs. To measure the level of integration by newcomers and estimate the direct and measurable outputs of program delivery, the government often uses proxy variables (such as service uptake, naturalization rate, labour market indicators and newcomers’ own sense of belonging). The introduction of Express Entry system in 2015 changed the way Canada selects immigrants. Canada now prioritizes younger, educated individuals with work experience, strong English or French language skills and the ability to integrate in Canada. These immigrants have high human capital (intangible personal attributes such as knowledge, skills, training and experience). These highly-educated skilled economic newcomers prioritize employment integration above all in the hopes of putting their knowledge, education and skills into use upon arrival in Canada. However, once in Canada, many skilled economic immigrants struggle to quickly and effectively integrate economically. This varied economic integration occurs in part because Canada’s Settlement Program is slow to respond to the needs of high skilled economic immigrants. Additional opportunities of on-the job training and improvements to the system of professional accreditation would allow newcomers to contribute their knowledge and skills to the Canadian society while enhancing their skills and easing their integration. To achieve this, settlement services must be made more accessible for all types of newcomers by offering services much sooner in the immigration process and expanding the eligibility criteria for services beyond permanent residents to include temporary residents and naturalized Canadians. To understand newcomer integration from a local perspective, I address settlement and integration services in Calgary, Alberta. As a result of the COVID-19 pandemic and a cooling off of the natural resources market, the city is experiencing unemployment levels much higher than the national average. Newcomers in Calgary are especially impacted by the recession as they tend to experience higher rates of unemployment and underemployment. With the economy predicted to be sluggish for the next few years, settlement programs are more important than ever, especially as the Government of Canada prepares to welcome over 400,000 of newcomers annually until at least 2023, some of whom will arrive in Calgary. The Alberta Gateway project in Calgary proposes to change the way newcomers engage with settlement services by coordinating the referral process and tracking the newcomers’ engagement with services over time. This tracking is managed centrally, and the data and client integration process is accessible by all partner organizations, creating a Knowledge Hub of information, which could be used in future research. The success of Gateway will depend in large part on newcomer engagement with the services, the accuracy and utility of the information gathered about newcomers, their needs and progress, and the expansion of the network to additional service providers and community partners in Calgary, in the province and in Canada.

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)0,005
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: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,055
Score d'incertitude au seuil0,339

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,005
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0180,004
Communication savante0,0070,002
Science ouverte0,0040,012
Intégrité de la recherche0,0010,004
Charge utile insuffisante (le modèle a refusé de juger)0,0060,000

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 Opus0,008
Tête enseignante GPT0,220
Écart entre enseignants0,212 · 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
Publié2020
Routes d'admission1
Résumé présentoui

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