Feel Good? The Dialectical Integration of International Immigrants in Rural Communities: The Case of the Canadian Prairie Provinces
Bibliographic record
Abstract
The increasing influx of international immigrants settling in rural communities, where their landing is expected to revitalize communities, has triggered concerns about international immigrants' adaptation and well-being. In this article, we specifically focus on international immigrants' economic integration as a part of their socialization in communities. This article integrates the results of two independent studies, respectively, focusing on rural employers' motivations to hire immigrants and immigrants' integration in rural communities, both taking place in the Canadian Prairie provinces. Based on a survey of 112 employers and 36 in-depth interviews with international immigrants and organizations promoting their integration, we explore the impact of mediating organizations on the well-being of international immigrants. The results highlight that mediating organizations facilitate the sharing of meanings between rural communities' stakeholders, which is key to success for both employers and employees in formalized organizations such as businesses. The results suggest that international immigrants' well-being is facilitated by mediating organizations that foster a dialectical transformation of rural communities where both hosts and immigrants understand each other.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.044 | 0.024 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".