Attracting Skilled Immigrants: An Overview of Recent Policy Developments in Advanced Countries
Bibliographic record
Abstract
In this paper we review the policies put in place by the main Western destination countries to attract highly skilled migrants. Two main systems can be identified. On the one hand, employer-driven schemes typically call for the migrant to meet a set of minimum skill requirements and to have a job offer before a work visa can be issued. On the other, migrant-driven schemes typically do not require a job offer, and instead select the migrant based on a set of characteristics chosen by the policymaker. Employer-driven schemes are the dominant policy tool in the sample of countries we consider in the analysis, and only Australia, Canada and New Zealand have made migrant-driven schemes the mainstay of their skill selective immigration policy. The preliminary evidence we review suggests that the latter are more effective in increasing the skill level of the immigrant population, and casts doubts on the usefulness of new initiatives like the EU blue card that are still based on an employer-driven system.
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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 | 0.002 | 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".