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Record W2139573661

Immigration Policy in Free Societies: Are There Principles Involved or Is It All Politics?

2009· article· en· W2139573661 on OpenAlexaboutno aff
Vernon M. Briggs

Bibliographic record

VenueeCommons (Cornell University) · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)PoliticsResidenceImmigrationCompetition (biology)Power (physics)Political sciencePolitical economyDevelopment economicsLawEconomicsDemographic economicsEngineering
DOInot available

Abstract

fetched live from OpenAlex

[Excerpt] Free societies with industrialized economies such as Canada and the United States are characterized by certain unique features. Among these is the fact that they both allow their citizens to come and go across their borders with few restrictions and they annually permit millions of noncitizens to travel, to conduct business, to visit, and to study in their countries with only minimal regulation. Both nations also allow some non-citizens to enter their countries and to work in competition with their citizen work-force for temporary periods under specific conditions. Furthermore, they regularly allow a generous number of non-citizens to immigrate or to take refuge as permanent residents and eventually to become citizens. It is primarily these latter situations, where work and residence issues arise, that pose the question whether years of experience have generated any principles that can guide policy makers when debates re-surface? Or, is it always simply a matter of political power and special interests at the moment that determine immigration policy on an ad-hoc basis?

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.783
Threshold uncertainty score0.774

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.063
GPT teacher head0.267
Teacher spread0.204 · 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 designTheoretical or conceptual
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
Published2009
Admission routes1
Has abstractyes

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