Low Job Market Integration of Skilled Immigrants in Canada: The Implication for Social Integration and Mental Well-Being
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Skilled immigrants are critical assets to the social and economic dynamism of Canada. However, they are less likely to find employment matching their skillset due to a lack of inclusive post-immigration professional integration policies and support. They generally earn less and often live below the low-income cutoff relative to their Canadian-born counterparts. This paper aims to review the current situation of low job market integration (LJMI) of skilled immigrants in Canada and its implications on their social integration and mental well-being. Skilled immigrants continue to face disparities in getting desired jobs, despite having sufficient skills and credentials similar if not superior to that of Canadian-borns. Based on the existing literature, this study demonstrates that low job market integration limits skilled immigrants’ productivity, and they experience a lower level of social integration and deteriorated mental well-being. Therefore, initiatives from multidisciplinary and multisector stakeholders are necessary to improve skilled immigrants’ mental well-being by providing equal opportunities devoid of social exclusion and marginalization.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it