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Record W2742445707 · doi:10.1080/1540496x.2016.1212704

Lambs to Slaughter: Potential for Crises in Smaller Nations of the European Union

2016· article· en· W2742445707 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

VenueEmerging Markets Finance and Trade · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsInflation (cosmology)EconomicsEuropean unionMonetary economicsFinancial crisisLogistic regressionReal gross domestic productInternational economicsMacroeconomicsStatistics

Abstract

fetched live from OpenAlex

The Minsky (1992) model links inflation during economic expansion to the potential for subsequent reversal. This model was tested in the European economic region using logistic regression, which indicated inflation had the greatest contribution toward potential for crisis. Three equations included inflation with other selected macroeconomic indicators tracked by the World Bank. GDP growth, GDP/GNI ratio, and adoption of the Euro demonstrated positive effects. Predictions based on the chosen indicators suggest that the newer members of the European Union may be vulnerable to crisis following periods of high inflation; recent slowing of economic activity in Europe has actually improved the predicted outcomes.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.711
Threshold uncertainty score0.283

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)0.0000.000

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 head0.017
GPT teacher head0.222
Teacher spread0.205 · 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