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Record W1536976145

Economic Outlook Improves in Euro Area – Inflation Pressure Persists Due to High Energy Prices

2006· article· en· W1536976145 on OpenAlexaboutno aff
Andreas Breitenfellner, Gerhard Fenz, Thomas Reininger

Bibliographic record

VenueMonetary Policy & the Economy · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Development and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsInflation (cosmology)Purchasing powerMomentum (technical analysis)UnemploymentInvestment (military)Quarter (Canadian coin)Monetary economicsReal gross domestic productEconomic slowdownChinaUnemployment rateSlowdownMacroeconomicsEconomic growthFinance
DOInot available

Abstract

fetched live from OpenAlex

The world economy is chugging along, but its key engines may be changing. While the economies of the U.S.A. and China have reached more mature levels, economic activity is now gradually gaining momentum in Europe and Japan. In Austria, economic growth over the year 2005 clearly regained momentum after a substantial but temporary slowdown in late 2004 and early 2005.Whereas previously economic growth was mainly driven by exports, it is now increasingly supported by domestic demand, too. Already in the second half of 2005, Austrian businesses visibly stepped up their investment activities, while recovery in consumer spending has been more hesitant. According to the OeNB's economic indicator, growth in Austria's real GDP (seasonally adjusted, compared to the previous quarter) will jump to 0.8% in both the first and second quarters of 2006. Despite high energy prices, inflation has abated considerably, thus supporting the real purchasing power of households. Finally, employment has risen, but the rate of unemployment remains elevated nonetheless.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.006

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 head0.011
GPT teacher head0.235
Teacher spread0.224 · 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 designNot applicable
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

Citations1
Published2006
Admission routes1
Has abstractyes

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