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Record W2790572900

Europa und die Weltwirtschaft: Globale Konjunktur ist weiter gedämpft

2016· article· de· W2790572900 on OpenAlexaboutno aff
Ferdinand Fichtner, Guido Baldi, Christian Dreger, Hella Engerer, Christoph Große Steffen, Michael Hachula, Malte Rieth, Thore Schlaak

Bibliographic record

VenueEconstor (Econstor) · 2016
Typearticle
Languagede
FieldEconomics, Econometrics and Finance
TopicGerman Economic Analysis & Policies
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsPaceChinaQuarter (Canadian coin)Emerging marketsConsumption (sociology)RecessionGlobal recessionCommodityWorld economyDevelopment economicsInternational economicsMarket economyGeographyPolitical scienceMacroeconomics
DOInot available

Abstract

fetched live from OpenAlex

Die Weltwirtschaft kommt weiterhin nicht in Fahrt. Nach dem bereits schwachen Jahresende 2015 hat sich das Expansionstempo im Auftaktquartal 2016 erneut verlangsamt. In den Schwellenländern dürfte die Konjunktur auch weiterhin gedämpft bleiben. Vor allem in China setzt sich die graduelle Wachstumsabschwächung im Zuge des Abbaus von Überkapazitäten fort. Russland und Brasilien dürften in der Rezession bleiben; neben den nach wie vor niedrigen Rohstoffpreisen tun hausgemachte Probleme ihr Übriges. Die entwickelten Volkswirtschaften können dies nicht ausgleichen, da die Konjunktur hier lediglich stabil verläuft. Hauptstütze bleibt dort die Binnennachfrage. Vor allem in den USA, aber auch im Euroraum ist mit kräftigen Konsumzuwächsen zu rechnen, die insbesondere aus der sich verbessernden Lage am Arbeitsmarkt resultieren. Unter dem Strich dürfte am Ende dieses Jahres mit 3,2 Prozent ein geringeres Wachstum der globalen Wirtschaftsleistung stehen als noch zuletzt erwartet. Insbesondere die Unsicherheit über die weitere konjunkturelle Entwicklung in China und die möglichen Auswirkungen eines Brexits bremsen den Optimismus.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.750
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.124

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 head0.220
Teacher spread0.204 · 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 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
Published2016
Admission routes1
Has abstractyes

Explore more

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