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Record W2485368049

Global growth still subdued

2016· article· de· W2485368049 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
FieldSocial Sciences
TopicEconomic and Technological Developments in Russia
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsChinaPaceRecessionEmerging marketsConsumption (sociology)Quarter (Canadian coin)Developed countryInternational economicsCommodityWorld economyGlobal recessionMomentum (technical analysis)BrexitDevelopment economicsMacroeconomicsMarket economyEuropean unionFinance
DOInot available

Abstract

fetched live from OpenAlex

The world economy has yet to regain momentum: after the already weak final quarter of 2015, the pace of expansion slowed down again in the first quarter of 2016. In the emerging countries' economies, growth is expected to remain subdued, especially in China, where the gradual slowdown continues as overcapacities are reduced. Russia and Brazil are likely to remain in recession: apart from the still-low commodity prices, domestic issues are aggravating the situation. Growth is just barely stable in the industrialized countries, which means they cannot compensate for the emerging countries' weaknesses. In the industrialized countries, the primary growth driver is still domestic demand. Strong consumption growth is expected in the US as well as in the euro area, primarily as a result of the improving labor market situation. All in all, the global economic growth rate is expected to be 3.2 percent in 2016, which is lower than previously forecasted. The uncertainty about China's future economic development and the potential impact of a Brexit are the primary risks that are curbing optimism.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.025
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0080.009
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0250.008

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 head0.248
Teacher spread0.232 · 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
GenreOther

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

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