The Improved Labour Market Performance of New Immigrants to Canada, 2006-2019
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
This report provides a descriptive analysis of the labour market outcomes of new immigrants to Canada from 2006 to 2019. Using data from the Labour Force Survey, it focuses on four labour market indicators: participation, unemployment, and employment rates, as well as average hourly wages. It compares trends in labour market outcomes among very recent immigrants (5 years or less since immigration), recent immigrants (5-10 years since immigration), and Canadian-born workers. This report finds that new immigrants are on average younger and better educated than the Canadian-born. As a result, their labour force participation and employment rates were comparable to, if not better than, those of the Canadian-born. However, the unemployment rates of new immigrants were higher, and average hourly wages were lower. Over the 2006 to 2019 period, very recent immigrants enjoyed an absolute and relative improvement in all four indicators. Recent immigrants enjoyed an improvement in all four absolute indicators and three of four relative indicators; relative hourly wages were the exception.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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