MétaCan
Menu
Back to cohort
Record W1572789758

The Standard of Proof in Complementary Protection Cases: Comparative Approaches in North America and Europe

2008· article· en· W1572789758 on OpenAlexaboutno aff
Jane McAdam

Bibliographic record

VenueSSRN Electronic Journal · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Criminal Justice and Data Protection
Canadian institutionsnot available
Fundersnot available
KeywordsConventionRefugeeContext (archaeology)DirectivePolitical scienceJurisprudenceLawNexus (standard)Law and economicsSociologyEngineeringGeography
DOInot available

Abstract

fetched live from OpenAlex

Though the title of this paper implies a technical and comparative legal analysis of the standard of proof in complementary protection claims vis-a-vis Convention refugee claims, this is only part of its substance. Indeed, while the standard of proof has become a central distinguishing feature in the Canadian context between attaining protection as a 'refugee' or as a 'person in need of protection', this debate has been largely absent from the EU arena. Nevertheless, high evidentiary burdens, combined with a haphazard consideration of the three possible grounds for subsidiary protection in the EU, mean that as in Canada, subsidiary protection status cannot be regarded as a residual status for people who would be Convention refugees but for the absence of a nexus with one of the five Convention grounds. Accordingly, this paper focuses on the legal impediments to obtaining subsidiary protection in the EU that have manifested themselves in the 18 months since the Qualification Directive entered into force for the EU Member States. Its particular issue is article 15(c), which extends protection to those facing serious and individual threat to a civilian's life or person by reason of indiscriminate violence in situations of international or internal armed conflict. This paper examines how article 15(c) has been interpreted in the jurisprudence of a number of EU Member States and demonstrates why it is not functioning effectively as a complementary form of protection.

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)0.022
metaresearch head score (Gemma)0.042
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.138
Threshold uncertainty score0.275

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.042
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0160.015
Science and technology studies0.0110.028
Scholarly communication0.0170.013
Open science0.0030.009
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0060.000

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 head0.110
GPT teacher head0.312
Teacher spread0.202 · 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 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

Citations3
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueSSRN Electronic JournalSame topicEuropean Criminal Justice and Data ProtectionFrench-language works237,207