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Record W2284268438

Consequences of the Public Debt Crisis on Growth and Stability

2014· article· en· W2284268438 on OpenAlexvenueno aff
Panagiotis Evangelopoulos

Bibliographic record

VenueReview of Economics and Finance · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsExpansiveDebtEconomicsStimulus (psychology)Financial crisisGolden RuleState (computer science)Debt crisisKeynesian economicsMonetary economicsQuantitative easingMonetary systemFiscal policyMonetary policyMacroeconomicsFinancial systemEconomic policyCentral bankPolitical science
DOInot available

Abstract

fetched live from OpenAlex

This research examines the public debt crisis that caused by the financial crisis in 2007-2008 after the immense involvement of the state as last resort. The purpose is to explain the consequences of the public debt crisis on growth and stability. This paper compares the macroeconomic policy of fiscal and monetary stability that characterizes modern Germany versus the expansive model that USA authorities exercise with fiscal stimulus and monetary quantitative easing. The author concludes that the restoration of the classical American constitutional tradition that restricts efficiently the expansive role of the state is the sufficient and the necessary condition, alongside a stable Germany, for divesting the disequilibria of the world economy. A balanced and symmetrical economic policy, based on the golden rule of stability, is the most effective way for the exodus of the world economic system from the global public debt crisis and for the global economic recovery.

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)0.001
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.035
GPT teacher head0.226
Teacher spread0.191 · 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
Published2014
Admission routes1
Has abstractyes

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