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Record W1748374369

Comprehensive Immigration Reform(s): Immigration Regulation Beyond Our Borders

2014· article· en· W1748374369 on OpenAlexaboutno aff
Stella Burch Elias

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicImmigration Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationImmigration lawImmigration reformImmigration policyPolitical scienceLegislatureEnforcementGermanPolitical economyLawSociologyGeography
DOInot available

Abstract

fetched live from OpenAlex

American lawmakers, jurists, and scholars are vigorously debating the future direction of immigration regulation in the United States. Following the passage on July 27, 2013 of Senate Bill 744, some kind of comprehensive reform seems increasingly likely. Immigration law is inherently inter-jurisdictional and transnational, but thus far the conversation about immigration reform has failed to look beyond our own national borders for alternative models or practices. This Article seeks to broaden the immigration regulation debate by contrasting recent developments in immigration regulation in the United States with those in other countries with federal systems. In three federal nations that traditionally had widely divergent approaches to immigration regulation-Germany, Australia, and Canada-strikingly similar multi-tiered, multi-governmental systems of immigration regulation have emerged in recent years. This Article proposes that the future direction of immigration regulation in the United States should consider the German, Australian, and Canadian models of immigration law and policy to shed light on a range of potentially desirable legislative, regulatory, and policy options. The German, Australian, and Canadian experiences strongly suggest that any reform of our own immigration laws should permit states and localities to play a greater role in immigrant selection, a continued role in immigrant inclusion, and a more limited role in the enforcement of immigration laws that exclude immigrants from the country.

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)0.010
metaresearch head score (Gemma)0.014
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: Empirical · Consensus signal: none
Teacher disagreement score0.053
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0080.016
Scholarly communication0.0100.008
Open science0.0020.007
Research integrity0.0090.008
Insufficient payload (model declined to judge)0.0030.000

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 head0.014
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
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
Published2014
Admission routes1
Has abstractyes

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