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Record W2151322773 · doi:10.1177/002795011422900102

Attracting Skilled Immigrants: An Overview of Recent Policy Developments in Advanced Countries

2014· article· en· W2151322773 on OpenAlexaboutno aff
Giovanni Facchini, Elisabetta Lodigiani

Bibliographic record

VenueNational Institute Economic Review · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationImmigration policyWork (physics)Set (abstract data type)Sample (material)PopulationLabour economicsMigrant workersBusinessDemographic economicsPolitical scienceEconomicsEconomic growthComputer scienceSociologyEngineering

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.993
Threshold uncertainty score0.976

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.085
GPT teacher head0.419
Teacher spread0.333 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations46
Published2014
Admission routes1
Has abstractyes

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