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Record W4251207480 · doi:10.7202/043222ar

The Use of Official Notice in a Refugee Determination Process

2005· article· en· W4251207480 on OpenAlexaffvenueabout
France Houle

Bibliographic record

VenueLes Cahiers de droit · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Criminal Justice and Data Protection
Canadian institutionsUniversité de MontréalQueen's University
Fundersnot available
KeywordsNoticeRefugeeConventionLawPolitical scienceScope (computer science)ConformityPersecutionProcess (computing)Economic JusticeComputer science

Abstract

fetched live from OpenAlex

Official notice allows members of administrative tribunals to take into account on their own motion a large scope of information in the decisionmaking process. With this rule of evidence, it is possible to reach a double objective of fairness and expeditiousness. In this article, the author examines the rule of evidence. She also studies the practice of the Convention Refugee Determination Division of taking official notice of « standardized country files ». These files compile information on conditions prevailing in refugee-producing countries. This study is important because the content of these files can be used to determine whether each of the 20 000 and more claimants for refugee status in Canada has a well-founded fear of persecution. The author concludes that standardized country files can be officially noticed as long as the Convention Refugee Determination Division discloses the information in conformity with the rules of natural justice.

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)0.148
metaresearch head score (Gemma)0.303
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.148
Threshold uncertainty score0.785

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1480.303
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.005
Science and technology studies0.0120.014
Scholarly communication0.0180.013
Open science0.0030.012
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.0040.002

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 head0.034
GPT teacher head0.303
Teacher spread0.269 · 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 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
Published2005
Admission routes3
Has abstractyes

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