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International Law and Administrative Insulation: A Comparison of Refugee Status Determination Regimes in the United States, Canada, and Australia

2012· article· en· W1948082934 on OpenAlexaboutno aff
Rebecca Hamlin

Bibliographic record

VenueLaw & Social Inquiry · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeBureaucracyAgency (philosophy)Political sciencePoliticsRefugee lawLawEconomic JusticeComprehensive Plan of ActionPublic administrationSociologySocial science

Abstract

fetched live from OpenAlex

International law provides nations with a common definition of a refugee, yet the processes by which countries determine who should be granted refugee status look strikingly different, even across nations with many institutional, cultural, geographical, and political similarities. This article compares the refugee status determination regimes of three popular asylum seeker destinations—the United States, Canada, and Australia. Despite these nations' similar border control policies, asylum seekers crossing their borders access three very different systems. These differences have less to do with political debates over admission and border control policy than with the level of insulation the administrative decision-making agency enjoys from political interference and judicial review. Bureaucratic justice is conceptualized and organized differently in different states, and so states vary in how they draw the line between refugee and nonrefugee.

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)0.003
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.092
Threshold uncertainty score0.670

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0080.009
Science and technology studies0.0150.016
Scholarly communication0.0080.002
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.108
GPT teacher head0.412
Teacher spread0.304 · 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 designQualitative
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

Citations35
Published2012
Admission routes1
Has abstractyes

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