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Record W3115169204 · doi:10.1017/9781316551103

The Comparative Politics of Immigration: Policy Choices in Germany, Canada, Switzerland, and the United States

2021· book· en· W3115169204 on OpenAlexaffabout
Antje Ellermann

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsImmigrationImmigration policyPoliticsPolitical scienceDemocracyComparative politicsPublic policyPolitical economyComparative casePublic administrationSociologyLaw

Abstract

fetched live from OpenAlex

Many governments face similar pressures surrounding the hotly debated topic of immigration. Yet, the disparate ways in which policy makers respond is striking. The Comparative Politics of Immigration explains why democratic governments adopt the immigration policies they do. Through an in-depth study of immigration politics in Germany, Canada, Switzerland, and the United States, Antje Ellermann examines the development of immigration policy from the postwar era to the present. The book presents a new theory of immigration policymaking grounded in the political insulation of policy makers. Three types of insulation shape the translation of immigration preference into policy: popular insulation from demands of the unorganized public, interest group insulation from the claims of organized lobbies, and diplomatic insulation from the lobbying of immigrant-sending states. Addressing the nuances in immigration reforms, Ellermann analyzes both institutional factors and policy actors' strategic decisions to account for cross-national and temporal variation.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.103
Threshold uncertainty score0.682

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.007
Science and technology studies0.0130.010
Scholarly communication0.0090.002
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.015
GPT teacher head0.295
Teacher spread0.281 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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

Citations1
Published2021
Admission routes2
Has abstractyes

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