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Record W2026722872 · doi:10.1111/1758-5899.12053

European Intervention Mechanisms for Growth: Budget and the European Investment Bank

2013· article· en· W2026722872 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGlobal Policy · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEuropean Monetary and Fiscal Policies
Canadian institutionsPricewaterhouseCoopers (Canada)
Fundersnot available
KeywordsConsolidation (business)SummitFinancial crisisSustainable growth rateLeverage (statistics)PillarEconomicsScope (computer science)Virtuous circle and vicious circleFinancePublic capitalStimulus (psychology)BusinessEconomic policyPublic investmentEuropean unionMacroeconomicsEngineering

Abstract

fetched live from OpenAlex

Abstract The EU's handling of the recent financial crisis gives much more weight to fiscal consolidation than to growth stimulus. Because the fiscal multipliers during crisis periods are significantly higher than previously estimated, the consolidation policy requires a second pillar for growth to avoid a vicious downward spiral. The first elements of this second pillar were adopted by the EU summit in June 2012, but the scope of the programme for growth and employment is not sufficient nor has it been implemented with the necessary speed and scope. This article calls for a systematic approach to increase the public intervention capacity to ignite sustainable growth. The main public financial instruments are the budget and the promotional bank at each level in Europe. The contribution of the promotional banks has grown since the eve of the great crisis. Volume and impact can be increased further. The main objectives are revolving funds, combined financial products bringing together loans and budget, focusing on viable projects and attracting private capital for projects where suitable. An optimisation of the budget for better leverage, better allocation efficiency and viable projects improves the impact significantly within given volumes. Even more enforcement seems possible if the budget grows to some extent to enlarge the anticrisis capacity.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.958
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.016
GPT teacher head0.208
Teacher spread0.192 · 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