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Record W2598604077 · doi:10.1177/016934411503300104

The Safe Third Country Concept in International Agreements on Refugee Protection Assessing State Practice

2015· article· en· W2598604077 on OpenAlexaboutno aff
María Teresa Bazo

Bibliographic record

VenueNetherlands Quarterly of Human Rights · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Criminal Justice and Data Protection
Canadian institutionsnot available
FundersEuropean Commission
KeywordsRefugeeState (computer science)Political scienceDual (grammatical number)International lawRefugee lawField (mathematics)Law and economicsLawSociologyComputer science

Abstract

fetched live from OpenAlex

One of the expressions of international cooperation among States in the field of refugee protection is the adoption of international agreements that implement the “safe third country” and the “country of first asylum” concepts. This paper examines the legal background to these concepts and State practice by considering three selected case studies (Spain, South Africa and the US). The paper analyses the legal implications and significance of issues arising and provides a critique of the system and its premises. In particular, the paper considers whether a multilateral arrangement – such as the Dublin III Regulation or the Canada-US Agreement – has the potential to become a model for the development of an inter-State agreement whereby one of the State Parties effectively delivers all relevant international obligations (including the right to asylum) on behalf of all States bound by such system. The dual nature of the system is analysed, as an operational instrument creating obligations between States while at the same time allowing for the delivery of States' international obligations towards refugees.

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)0.035
metaresearch head score (Gemma)0.054
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: none
Teacher disagreement score0.035
Threshold uncertainty score0.185

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0350.054
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0090.054
Scholarly communication0.0170.016
Open science0.0020.014
Research integrity0.0070.006
Insufficient payload (model declined to judge)0.0040.000

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 head0.048
GPT teacher head0.364
Teacher spread0.316 · 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

Citations68
Published2015
Admission routes1
Has abstractyes

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Same venueNetherlands Quarterly of Human RightsSame topicEuropean Criminal Justice and Data ProtectionFrench-language works237,207