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Record W4408967634 · doi:10.1093/ijrl/eeaf003

Finding Religion: Assessing Religion-Based Asylum Claims in Refugee Status Determination Procedures in Norway and Canada

2025· article· en· W4408967634 on OpenAlexaboutno aff
Helge Årsheim

Bibliographic record

VenueInternational Journal of Refugee Law · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeePolitical scienceReligious studiesCriminologyLawSociologyPhilosophy

Abstract

fetched live from OpenAlex

Abstract This article examines refugee status determination (RSD) procedures in Norway and Canada, focusing on religious conversion claims. It is structured in two parts. The first describes the features of RSD in both countries, including the standards of review and legal precedents used by courts. The second part explores how international human rights law defines ‘religion’ and how Norwegian and Canadian courts handle religious conversion cases. The study highlights the shift from knowledge-based assessments to consideration of personal reflections after the introduction by UNHCR in 2004 of guidelines to assist in dealing with religion-based claims for protection. Using document analysis of 200 appellate cases from 2012 to 2022, the article assesses the credibility, the role of testimonies, and the level of religious knowledge and practice in these claims. It also discusses the influence of country-specific conditions on RSD procedures and the courts’ reliance on domestic and international legal precedents. It concludes by comparing the different approaches and outcomes in assessing religious conversion claims in the two jurisdictions, emphasizing the need for nuanced understanding and evaluation of individual cases.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.781
Threshold uncertainty score0.824

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.009
GPT teacher head0.321
Teacher spread0.312 · 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 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

Citations1
Published2025
Admission routes1
Has abstractyes

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