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Record W4238292879 · doi:10.1108/oxan-db205343

Czech pre-2009 growth rate may return

2015· other· en· W4238292879 on OpenAlexaboutno aff

Bibliographic record

VenueEmerald expert briefings · 2015
Typeother
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Productivity
Canadian institutionsnot available
Fundersnot available
KeywordsCzechQuarter (Canadian coin)EconomicsSlowdownSetbackIndustrial productionReal gross domestic productEconomic recoveryEconomyGross domestic productGeographyAgricultural economicsMonetary economicsPolitical scienceMacroeconomicsEconomic growth

Abstract

fetched live from OpenAlex

Subject Leaders and laggards among CE economies. Significance Economic growth remained solid in the Czech Republic and Poland in the first half of 2015. Czech GDP grew by 4.4% annually in April-June, well above expectations and the EU average; in Poland, the economy slowed marginally in the second quarter compared to the first. In Hungary, industrial production data for July underline the slowdown in GDP in the second quarter. Nevertheless, domestic demand has recovered across the Central European (CE) region, following the 2008-09 crisis setback; net exports' contribution to headline growth is far smaller than in recent years. Impacts Drops in external demand in the EU and Asia, and in industrial performance, pose the most significant downside risks. After a disappointing 2015, Poland and Hungary should bounce back in 2016, supported by rising employment as slack in the economy recedes. As the risk of deflation subsides, the Czech Republic is expected to post the strongest rates of growth across the region in 2016-17.

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)0.003
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.096
Threshold uncertainty score0.322

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0960.070

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 head0.029
GPT teacher head0.231
Teacher spread0.202 · 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
Published2015
Admission routes1
Has abstractyes

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