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Record W1602661165

The Terrorism Bar to Asylum in Australia, Canada, the United Kingdom, and the United States: Transporting Best Practices

2009· article· en· W1602661165 on OpenAlexaboutno aff
Won Kidane

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Aviation
Canadian institutionsnot available
Fundersnot available
KeywordsTerrorismImmigrationPolitical sciencePosition (finance)LawNational securityPhenomenonImmigration lawBusiness
DOInot available

Abstract

fetched live from OpenAlex

The contemporary threat of terrorism that the Western world faces is primarily from so-called “aliens.” As such, the laws that are meant to combat terrorism necessarily involve the regulation of the admission and exclusion of aliens. This type of regulation is traditionally the purview of immigration law. Although the link between national security and immigration is by no means contemporary, the existing level of intersection between antiterrorism laws and immigration is essentially a post- 9/11 phenomenon.\nThe reason for this phenomenon is that the 9/11 attacks were planned and executed by aliens. Although there has not been a terrorist attack on U.S. soil since 9/11, Europe and other parts of the world have since suffered several prominent attacks by persons viewed as aliens, which has fueled the characterization of alienage as the most essential ingredient of terrorism. After the 9/11 attacks, lawmakers from Australia, Canada, the United Kingdom, and the United States faced three possible alternatives for regulating the admission and exclusion of aliens: two extreme positions and a moderate middle option. The position at one extreme was a total ban on the admission of aliens. None of these jurisdictions opted for this choice because it would have resulted in a total cessation in world trade. The position at the other extreme was to continue the usual practice of alien admission as though the 9/11 attacks never occurred. Again, none of the jurisdictions in this study exercised that option, mainly because it would almost certainly have jeopardized their security. Instead, they all opted for some compromise of the two extremes: admitting noncitizen foreign nationals as needed by attempting to exclude aliens with terrorist ties.To confront the new and real threat posed by terrorism, each of these four jurisdictions amended their immigration laws and set up new procedures. In the process, however, their substantive laws and procedures largely neglected, to varying degrees, fundamental notions of proportionality and justice.\nThis Article attempts to measure the degree of deviation from the notions of proportionality and substantial fairness by critically examining the approaches taken by the four jurisdictions, and then advances a model approach that strikes the appropriate balance between fairness, increasing the administrability of immigration laws, maximizing the benefits of cross-border mobility, and minimizing the exposure to risks of future terrorist attacks.

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)0.001
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 score0.949
Threshold uncertainty score0.614

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.059
GPT teacher head0.358
Teacher spread0.299 · 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

Citations3
Published2009
Admission routes1
Has abstractyes

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