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Record W53073978

The Defence of Duress in Canadian Refugee Law

2016· article· en· W53073978 on OpenAlexaffabout
Jennifer Bond

Bibliographic record

VenueSSRN Electronic Journal · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicTorture, Ethics, and Law
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsRefugeeRefugee lawContext (archaeology)Political scienceHarmCommitLawConfusionCriminologyRelevance (law)International lawLaw and economicsSociologyPsychologyGeography
DOInot available

Abstract

fetched live from OpenAlex

The majority of refugees come from destabilized states and conflict zones where threats and fear are endemic, and immediate escape is not always possible. These environments may necessitate that a person commit crimes to prevent harm to themselves or third parties before they cross borders and seek international protection. Under Canada's current refugee regime, such persons may be prevented from accessing refugee protection and status on the basis of criminality. Doctrinal complexities concerning available defences and procedural incoherencies complicate Canada's refugee decision making and have the potential to perpetuate grave injustices against refugee claimants. The author argues that defences should be available in any refugee case where status is denied on the basis of criminality, and emphasizes the unique and enhanced role that defences should play in this context. Further, that current confusion about when and how defences ought to be applied by decision makers in Canada's refugee system must be resolved such that all exculpatory factors are fully and properly considered where criminality is alleged. Uncertainty over relevant sources of law underpins significant inconsistency in decision making and is problematic given important substantive differences between domestic and international criminal law. The article discusses the implications for the defence of duress in particular, given its relevance to many refugee claimants. The author identifies sources of law that must be considered by decision makers in refugee inadmissibility and exclusion cases, and specifies three aspects of the defence of duress that are critical in this context: temporal connection, implied threats and the modified objective standard.

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)0.005
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.541
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.011
GPT teacher head0.288
Teacher spread0.276 · 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 designTheoretical or conceptual
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
Published2016
Admission routes2
Has abstractyes

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