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Record W2980755242 · doi:10.24908/fede.v17i1.13580

The European Refugee Crisis: transitioning the EU from state-centric ‘kingdoms’ to a federalist system of multi-level governance

2016· article· en· W2980755242 on OpenAlexvenueno aff
Stephen Mighton

Bibliographic record

VenueFederalism-E · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceEuropean unionSolidarityPolitical economyRefugeeTreatyState (computer science)PoliticsEuropean debt crisisRefugee crisisLegitimacyEuropean integrationLawSociologyInternational tradeEconomics

Abstract

fetched live from OpenAlex

In an era where European integration has become increasingly questioned and where Euroscepticism battles the objectives envisioned by the Maastricht Treaty of 1992, the European Union (EU) desperately needs to revitalize its project of unification if its hopes to survive. Events of the last decade, such as the sovereign debt crisis, the global financial crisis, and the evolving refugee crisis, have challenged the efficacy of the EU and have seemingly undermined its legitimacy as a regulatory body. Taken individually, these crises pose a potent threat to the success of European integration and to the enlargement of member state unification. Most recently, the ongoing refugee crisis has created a sense of disunion within the EU giving way to a state of calamity as successive European efforts have failed at resolving this issue. Reeling from civil conflict and political turmoil, individuals from various regions, most notably Africa, the Middle East, and South Asia, have fled the dangers and uncertainties of their homes in order to seek refuge within neighbouring European countries. This arduous and sudden development has prompted commentators, such as former Greek finance minister Yanis Varoufakis, to claim that the solidarity of the EU is being threatened at a level not seen since the migrant crisis of 1945 during the Second World War.[...]

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.807
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.042
GPT teacher head0.287
Teacher spread0.245 · 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.

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
Published2016
Admission routes1
Has abstractyes

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