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Who Are the Immigrants?

2015· book-chapter· en· W4232474238 on OpenAlexaboutno aff
Richard Alba, Nancy Foner

Bibliographic record

VenuePrinceton University Press eBooks · 2015
Typebook-chapter
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationPolitical scienceImmigration policyImmigration lawDevelopment economicsEconomyDemographic economicsGeographyLawEconomics

Abstract

fetched live from OpenAlex

This chapter explores the role of post-World War II immigration laws and policies of France, Germany, Great Britain, the Netherlands, United States, and Canada in giving rise to the mix of new social groups on their social landscapes. In one fundamental sense, the immigration regimes of European countries, the United States, and Canada are very much alike. All are restrictive in that they set limits on the numbers and type of people who can settle as permanent residents. There are, however, important transatlantic differences, lending some support to the common perception that Canada and the United States are more welcoming of immigration. Western European countries continue to be wary about immigration from outside of Europe. Their wariness is reflected in their attempts to make migration through marriages to the second generation more difficult as well as in immigration laws that constrain economic migration from the global South, keeping its numbers modest while seeking to select high human-capital immigrants.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0060.007
Open science0.0000.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0120.005

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 head0.047
GPT teacher head0.252
Teacher spread0.205 · 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 designObservational
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

Citations0
Published2015
Admission routes1
Has abstractyes

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Same venuePrinceton University Press eBooksSame topicMigration and Labor DynamicsFrench-language works237,207