MétaCan
Menu
Back to cohort
Record W3121839891

Once More unto the Breach: Confronting the Standard of Review (Again) and the Imperative of Correctness Review when Interpreting the Scope of Refugee Protection

2019· article· en· W3121839891 on OpenAlexaboutno aff
Gerald Heckman, Amar Khoday

Bibliographic record

VenueeYLS (Yale Law School) · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicHuman Rights and Development
Canadian institutionsnot available
Fundersnot available
KeywordsTribunalLawRefugeePolitical scienceHuman rightsTortureScope (computer science)JurisprudenceSupreme courtConventionStatuteJudicial reviewInternational lawMeaning (existential)Refugee lawInterpretation (philosophy)Law and economicsSociology
DOInot available

Abstract

fetched live from OpenAlex

The Supreme Court of Canada’s standard of review jurisprudence has been marked by the ascendancy of reasonableness as the presumptive standard of review of decisions involving an administrative tribunal’s interpretation and application of its home statute. To the extent that this approach would lead to the reasonableness review of administrative decision-makers’ interpretation of the scope and meaning of provisions of the Immigration and Refugee Protection Act that implement the basic human rights conferred in international conventions to which Canada is a party, it must be changed. Interpretations of the scope of the Refugee Convention and Convention Against Torture raise questions of law of central importance to the legal system and outside the relative expertise of decision-makers under the Act. Such questions warrant uniform and consistent answers that can ultimately only be provided by national courts. Moreover, given the serious impact of refugee protection decisions on the claimants’ life, liberty and security of the person, tolerating divergent interpretations of basic human rights through reasonableness review is arbitrary and contrary to the rule of law. Accordingly, the potential for inconsistent interpretations must be resolved decisively through correctness review.

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)0.008
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: none
Teacher disagreement score0.829
Threshold uncertainty score0.475

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.017
GPT teacher head0.294
Teacher spread0.278 · 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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueeYLS (Yale Law School)Same topicHuman Rights and DevelopmentFrench-language works237,207