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Record W7030182586

Migration and EU solidarity

2017· article· en· W7030182586 on OpenAlexaboutno aff

Bibliographic record

VenueEUR Research Repository (Erasmus University Rotterdam) · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicFish biology, ecology, and behavior
Canadian institutionsnot available
Fundersnot available
KeywordsSolidarityBrexitReferendumDemocracyEuropean unionRefugeeSocial policyImmigration
DOInot available

Abstract

fetched live from OpenAlex

The crisis of the EU is multifaceted and has visibly deepened during the last year. The British referendum on EU membership and the vote in favour of Brexit have only been the most explicit symptom of the disintegrative tendencies. The core-periphery rift in the euro area has continued. The arrival of a large number of refugees from the war-torn areas of the Middle East has resulted in acrimonious conflicts in the EU on the question who should take care of them. The way in which the pro-free trade forces pushed through the Comprehensive Economic and Trade Agreement (CETA) with Canada showed utter disregard for the objections of democratically elected bodies (e.g. the Belgian regions of Wallonia and Brussels). Macroeconomically the euro area is still far from a sustained recovery and with the general weakening of the world economy and the uncertainties caused by the Brexit vote the fragility of the recovery has recently increased considerably. The European Central Bank continued and even reinforced its policy of very easy credit. However, there are signs that this policy may be reaching its limits. The EuroMemorandum 2017 critically analyses recent economic developments in Europe and emphasises the strong need for an alternative economic policy that is based on the principles of democratic participation, social justice and environmental sustainability.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.043
GPT teacher head0.294
Teacher spread0.251 · 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 designObservational
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
Published2017
Admission routes1
Has abstractyes

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