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Record W2028983144 · doi:10.1093/ijrl/eeq001

A Comparative Analysis of the Response of the UNHCR and Industrialized States to Rapidly Fluctuating Refugee Status and Asylum Applications: Lessons and Best Practices for RSD Systems Design and Administration

2010· article· en· W2028983144 on OpenAlexaboutno aff
James C. Simeon

Bibliographic record

VenueInternational Journal of Refugee Law · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeConventionMandatePolitical scienceRefugee lawConsistency (knowledge bases)State (computer science)LawAdjudicationPublic administrationAdministration (probate law)Computer science

Abstract

fetched live from OpenAlex

The full implementation of the 1951 Convention relating to the Status of Refugees and/or its 1967 Protocol is contingent on the capacity of the UNHCR and state parties to respond to rapid fluctuations in new refugee status and asylum applications through the provision of fair, efficient, effective and independent refugee status determination (RSD) adjudicative structures and procedures. The number of new refugee status and asylum applications received by the UNHCR and six industrialized states (Australia, New Zealand, Canada, the United States, Sweden and the United Kingdom) between 2000 and 2008 show sharp variations in the number of persons seeking mandate or Convention refugee status. This article sets out a comparative analysis of the most pertinent concerns of the RSD systems within Canada, the United States, the United Kingdom and the UNHCR, which reveals critical deficiencies with respect to the appointment of highly qualified, independent refugee law decision makers at first instance and to the issue of consistency. The article concludes by underscoring the necessity and importance of the UNHCR and state parties to work in unison with regard to these international human rights instruments to manage their response to forced migratory flows and to ensure that their RSD systems conform to internationally recognized and accepted core values and standards for RSD adjudication.

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)0.011
metaresearch head score (Gemma)0.035
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.035
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0030.003
Scholarly communication0.0040.003
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.069
GPT teacher head0.416
Teacher spread0.347 · 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

Citations10
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Refugee LawSame topicMigration, Refugees, and IntegrationFrench-language works237,207