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Record W4403320585 · doi:10.1093/ijrl/eeae032

Internal Flight Anarchy: Points of Divergence from UNHCR Guidelines in Canadian Decision Making

2024· article· en· W4403320585 on OpenAlexaboutno aff
Pia Zambelli

Bibliographic record

VenueInternational Journal of Refugee Law · 2024
Typearticle
Languageen
FieldEngineering
TopicNuclear and radioactivity studies
Canadian institutionsnot available
Fundersnot available
KeywordsDivergence (linguistics)Political scienceComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Abstract Over the years, Canadian decision makers have come to apply the concept of ‘internal flight alternative’ (IFA) more expansively than recommended by the United Nations High Commissioner for Refugees (UNHCR). Given the significant proportion of refugee claims that are refused on the basis of this concept each year, this divergence of interpretation has a real-life impact. To examine this phenomenon, the article provides a brief overview of the IFA concept, including a review of the scholarly literature and UNHCR guidance. Next, it traces the concept’s development in Canadian law and highlights points of divergence with UNHCR’s position. Finally, the article discusses potential strategies for realignment. The goal is to encourage practitioners and decision makers to think more deeply about the IFA concept, to raise awareness in regard to existing scholarship and applicable norms, and to ensure that these norms are applied in a conscious, humane, and consistent manner.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.810
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.014
GPT teacher head0.310
Teacher spread0.296 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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