Immigration, Low Income and Income Inequality in Canada: What's New in the 2000s?
Bibliographic record
Abstract
This paper documents changes in low-income and high-income rates and in family-income inequality among immigrants and Canadian-born persons over the 1995-to-2010 period. In addition, it estimates the extent to which declining low-income rates among immigrants were attributable to changing compositional characteristics over this period, and the direct role that immigration played in low-income and income-inequality trends in Canada. Both national and regional results are presented. There are four major findings. First, in contrast to the 1980s and 1990s, immigrant low-income rates declined in the 2000s. The decline was particularly evident in the western regions, but was not observed in Toronto. However, because low-income rates also declined among the Canadian-born through the 2000s, immigrants’ low-income rates relative to the Canadian-born remained high in most regions. Manitoba and Saskatchewan were exceptions in this regard. Second, changes in immigrant characteristics and selection programs accounted for about one-third of the decline in low-income rates among recent immigrants. Again, this varied by region. Third, while rising immigrant low-income rates accounted for virtually all of the increase in the national low-income rate over the 1980s and 1990s, immigrants accounted for little of the decline in the national low-income rate during the 2000s. Immigrants also accounted for little of the rise in the high-income rate observed between 1995 and 2010. Fourth, immigration contributed very little to national trends in either family-income inequality or family-earnings inequality since the mid-1990s.
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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 | 0.007 | 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".