Labour Market Outcomes for Skilled Worker Immigrants and Non-Immigrants in Canada
Bibliographic record
Abstract
Previous research on the experiences of immigrants within foreign labour markets produce mixed findings. In this study, I utilize the February 2020 Canadian Labour Force Survey to address three questions. First, does possessing a higher education ensure that individuals will earn higher weekly wages? Second, for early to middle-age workers is there a gap in weekly wages based on educational attainment between immigrants and non-immigrants.? Third, does higher education protect against precarious work equally for immigrants and non-immigrants? Findings suggest that as an individual’s highest level of educational attainment increases, so does their weekly wage earnings, on average. Furthermore, the findings show that immigrants at differing levels of educational attainment, may earn greater weekly wages than non-immigrants with a bachelor’s degree. The findings show minimal support regarding the protections higher education may have against an individual’s employment in a precarious occupation.
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How this classification was reachedexpand
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".