The Implications of Immigration Federalism for Non-citizens’ Rights and Immigration Opportunities: Canada and Australia Compared
Bibliographic record
Abstract
This article explores the development of immigration federalism in Australia and Canada (expressed through the establishment of state/provincial/territorial immigrant selection programs) and its implications for immigrants’ rights and immigration opportunities. Given the very limited scholarship on the issue, and the lack of previous comparative studies on immigration federalism in Australia and Canada, our research is exploratory by nature. Our finding is that provincial/state/territorial programs offer some advantages to prospective applicants (such as increased immigration opportunities), but, at the same time, raise a number of concerns (such as an increased dependence on employers). As our study reveals, the costs and benefits of immigration opportunities under state/provincial/territorial programs differ for skilled and low-skilled workers, whereby the latter are given only limited access to permanent residence, and on more onerous conditions than skilled workers. Drawing on these findings, we identify areas in need of further research and policy response.
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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 | 0.000 |
| 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 | 0.001 |
| 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 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".