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
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.004 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.004 | 0.012 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".