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Record W2402414566

Evoluția Conjuncturii Economiei Mondiale (The Evolution of World Economy Outlook)

2014· article· ro· W2402414566 on OpenAlexaboutno aff
Cornel Albu, Andrei Rădulescu

Bibliographic record

VenueSSRN Electronic Journal · 2014
Typearticle
Languagero
FieldEconomics, Econometrics and Finance
TopicEconomic Issues in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyEconomyHumanitiesPolitical scienceEconomicsArt
DOInot available

Abstract

fetched live from OpenAlex

Romanian Abstract: In 2013, economia mondiala și-a continuat evoluția modesta din ultimii ani, situându-se cu peste 1 p.p. sub media perioadei 2000-2007 și cu 0,75 p.p. sub cea a ultimilor 15 ani dinaintea crizei financiare.Din grupul statelor dezvoltate cele mai rapide ritmuri de creștere s-au inregistrat in Statele Unite (2,2%), Canada (2,0%), Marea Britanie (1,7%) și Japonia (1,6%). Experții OCDE prognozeaza o imbunatațire moderata a creșterii economiei mondiale in urmatorii doi ani, marcata de evoluții divergente intre principalele economii ale lumii, insoțite de riscuri și vulnerabilitați semnificative.English Abstract: In 2013, the global economy has continued the modest growth of recent years, with 1 percentage point below the 2000-2007 period and about 0,75 percentage point below the average of the 15 years prior to financial crisis.Within advanced economies group, growth was stronger in the United States (2,2%), Canada (2,0%), the United Kingdom (1,7%) and Japan (1,6%). OECD Report forecasts a moderate improvement in global growth over the next two years, marked with divergence across the major economies and large risks and vulnerabilities.

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)0.009
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.615
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0010.002

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 head0.007
GPT teacher head0.194
Teacher spread0.187 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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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Same venueSSRN Electronic JournalSame topicEconomic Issues in UkraineFrench-language works237,207