Post-2014 migrants' access to housing, employment and other crucial resources in small- and medium-sized towns and rural areas in Canada: Country Reports on integration
Bibliographic record
Abstract
This report looks at migrants’ access to housing, employment, and other relevant resources in six different small and medium-sized towns and rural areas in Canada between 2016 and 2021. Primarily based on interviews conducted in each of the six selected municipalities, secondary data analysis and a policy literature review, it provides an overview of the concrete barriers that migrants face in relation to housing and employment; the local actors who are involved in, and/or seen as responsible for, facilitating their access; any concrete local measures or practices that help or hinder this access; and the specific target groups of these measures, initiatives or practices. The report finds that the concrete barriers facing migrant access to housing are affordability, availability, and size. These factors were particularly acute in Ontario and B.C. where a housing crisis has driven up the average cost of a home and decreased availability. During the study period, Canada possessed low unemployment rates, however, one of the concrete barriers regarding economic integration was foreign credential recognition and language acquisition (English or French). The local actors who were involved included immigrant settlement service organizations, provincial employment ministries, faith organizations or groups of individuals (involved in private sponsorship), provincial/regional chambers of commerce and community service organizations. The measures and practices included employment matching and preparation services, language training programs, job banks, mentoring programs, paid internships, targeted migrant hiring initiatives by municipal and community-service organizations, skills upgrading programs and municipal integration policies. The specific target groups of these measures included immigrants (both economic and resettled refugees) as well as residents.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".