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Record W2068630567 · doi:10.1177/002070201106600109

Integrating Highly Skilled Migrants into the Economy

2011· article· en· W2068630567 on OpenAlexaboutno aff
Karin Schittenhelm, Oliver Schmidtke

Bibliographic record

VenueInternational Journal Canada s Journal of Global Policy Analysis · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationEmigrationPolitical scienceCompetition (biology)Immigration policyPolitical economyDevelopment economicsEconomyEconomicsLaw

Abstract

fetched live from OpenAlex

In traditional scholarly and public debate, North American societies such as Canada and European societies like Great Britain and Germany are portrayed as having essentially different immigration regimes. Canada is seen as the quintessential immigrant society with consistently high levels of newcomers throughout much of the last century, and an immigration policy that is driven by the idea of attracting highly qualified migrants and integrating them swiftly into society and the labour market. By contrast, this multifaceted commitment to becoming an immigrant society has been absent from European countries until now. While some countries have factually changed from being countries of emigration to those of immigration, attracting newcomers has traditionally been more a matter of those countries' colonial legacy, or, in other cases such as Germany, one of hiring temporary workers during the postwar economic boom. This has left European countries with a distinctly different legacy of selecting immigrants and integrating them into the fabric of their societies.Yet, challenging this ideal-typical distinction between European societies and settler societies in North America, many countries in Europe have warmed up to the idea of pursuing a more elaborate and expanded immigration policy/ Individual European countries have increasingly been involved in the global competition for highly skilled migrants. At the national and European level, attracting a well-educated work force from abroad is widely perceived to be a major strategy to address the demographic transformation of western countries and to keep knowledge-based economies competitive. With low birth rates, European societies are ageing quickly and are likely to face a severe shortage of qualified labour in the near future. Across party lines, political and business communities widely agree that demographic change will be the key threat to Europe's international economic competitiveness. In spite of considerable public reservations, promoting immigration has become one of the most important answers to this challenge.Germany and the UK are pertinent examples of how this assessment has led to substantial changes in immigration policy.2 Echoing similar attempts in other European countries, Germany and the UK have introduced legislation that seeks to facilitate immigration and to target highly qualified newcomers. Not too surprisingly, the Canadian point system and its emphasis on the education and work experience of applicants has served as a blueprint for new policies designed to attract more highly qualified immigrants. The key assumption driving the adoption of these policies is that these skilled newcomers are quickly integrated into the workforce and contribute to the wellbeing of the recipient country.Rather than focusing on recent changes in immigration policy and increasing international competition for the best minds, this article analyzes how successful Canadian and European societies have been, from a comparative perspective, in taking advantage of newcomers' skills and in providing them with equitable access to professional opportunities. In this respect, it is also worth noting several key differences in the respective countries' labour markets. Compared to their continental European counterparts, North American societies have traditionally been characterized by less regulated labour markets and a higher degree of labour mobility. However, European labour markets are now tending to move in a similar direction. We have recently witnessed a shift away from long-term employment careers toward an increase in temporary contracts, part-time work, and self-employment.3 The fate of highly skilled immigrants in the economy is shaped by these structural changes in national economies and by the more specific occupational conditions in particular professional fields.4 Keeping these complex processes of integrating highly skilled migrants into the labour market in mind, what are the achievements and challenges of policies that are designed to compete for the most qualified migrants, people who often enjoy a great degree of mobility in the globalized economy? …

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)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.743
Threshold uncertainty score0.856

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.303
Teacher spread0.292 · 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
GenreEmpirical

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

Citations22
Published2011
Admission routes1
Has abstractyes

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