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Record W3113360822 · doi:10.26443/firr.v9i2.12

Courting Asylum: How Asylum Claimants in Greece are Using Judicial Power to Combat neo-Refoulement and the EU-Turkey Safe Third Country Agreement

2019· article· en· W3113360822 on OpenAlexvenueno aff
Ender McDuff

Bibliographic record

VenueFlux International Relations Review · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Criminal Justice and Data Protection
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeConventionPolitical scienceLawDemocracyPower (physics)State (computer science)Politics

Abstract

fetched live from OpenAlex

The international refugee regime is marked by a widening gap between the constitutional democratic values of countries in the global north and the practices employed by their state executives. While states have committed to the rights of refugees by joining the 1951 Refugee Convention, they have simultaneously subverted the rule of law in the name of security by instituting practices that externalize asylum: neo-refoulement. The purpose of this article is to examine the extent to which judicial power can be used to combat executive practices of neo-refoulement. This article considers asylum claims heard in the Greek appellate court system pertaining to the safe third country agreement between the European Union and Turkey. The article concludes that, under a system of coequal institutions, judicial power and case law harbour the potential for necessitating the consideration of all individual asylum cases effectively disarming practices of neo-refoulement.

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)0.010
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.011
Scholarly communication0.0100.005
Open science0.0020.004
Research integrity0.0060.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.032
GPT teacher head0.333
Teacher spread0.301 · 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 designQualitative
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

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