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Record W2361866326

European Globalization Adjustment Fund: Evolution and Outcome

2013· article· en· W2361866326 on OpenAlexvenueno aff
Zhang Bi

Bibliographic record

VenueInternational Business Research · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Development and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsGlobalizationUnemploymentEconomicsOutcome (game theory)Structural adjustmentMember statesEconomic policyBusinessEuropean unionEconomic growthMarket economy
DOInot available

Abstract

fetched live from OpenAlex

The European Globalization Adjustment Fund(EGF)was established in 2007 by EU in the course of the European Employment Strategy.It is a labor market adjustment assistance policy,drawing on the successful experience of the U.S.Trade Adjustment Assistance Program.As an important supplement to the Structural Fund,particularly the European Social Fund,EGF has the following features: suddenness of the causes,specificity of triggering conditions and temporality of assisting measures.This paper examines the EGF operation during the years from 2007 to 2011 and concludes that:(1)the majority of the assistance was aimed at the unemployment caused by the global financial crisis since 2008;(2)the member states and the industrial sectors applying for assistance were highly concentrated;(3)the amount of yearly expenditure was lower than the budget and focused on certain measures;(4)the current average reemployment rate was low and differentiated but its long trend is optimistic.

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)0.005
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.010
Science and technology studies0.0010.001
Scholarly communication0.0060.003
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.157
GPT teacher head0.444
Teacher spread0.287 · 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 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
Published2013
Admission routes1
Has abstractyes

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