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Record W1486582991

European Transition Economies: World-wide Slowdown of Growth of Limited Impact

2002· article· en· W1486582991 on OpenAlexaboutno aff
Josef Pöschl

Bibliographic record

VenueWIFO Monatsberichte (monthly reports) · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Development and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsSetbackAccessionEconomicsInflation (cosmology)SlowdownQuarter (Canadian coin)Transition countriesEu countriesInternational economicsInternational tradeDevelopment economicsEconomyEuropean unionPolitical scienceGeographyEconomic growth
DOInot available

Abstract

fetched live from OpenAlex

In all European transition economies discussed in this article the GDP grew in both 2000 and 2001. The only exception was Macedonia in 2001, due to a serious political crisis. In those countries that in the past decade experienced an extremely severe economic setback – Bulgaria, Romania, Russia, Ukraine and Yugoslavia – the growth rate jumped to between 5 and 10 percent at least in one of these two years. In 2002, almost all countries will be unable to achieve a growth rate similar to that reported in 2000-01. The world-wide slow-down of economic growth, and especially the growth deceleration in Germany and other EU countries, has shown a direct impact on the export performance of transition countries: exports grew only insignificantly in the last months of 2001, and the same was true for industrial output. GDP growth will be low in the first quarter of 2002, however is likely to intensify in the course of the year as well as in 2003. The inflation rate has become one-digit in most of the countries; a trend towards nominal appreciation emerged in some of the leading countries. A more rapid introduction of the Euro is likely to become a hot topic in the course of EU accession. Austria is making a comfortable surplus in its trade with the Central European transition countries, and especially with Hungary, Croatia and Slovenia. Hungary is also Austria's major business partner in the region.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.485
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.261
Teacher spread0.236 · 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 teacher head, not a consensus.

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
Published2002
Admission routes1
Has abstractyes

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