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Record W1490145942

Oil Price Hike Driving Up Inflation, Dampening Economic Growth. Economic Outlook for 2008 and 2009

2008· article· en· W1490145942 on OpenAlexaboutno aff
Markus Marterbauer

Bibliographic record

VenueAustrian Economic Quarterly · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Development and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsInflation (cosmology)Business cycleReal gross domestic productRecessionUnemploymentQuarter (Canadian coin)Private consumptionSlowdownConsumption (sociology)Monetary economicsInvestment (military)MacroeconomicsFiscal policy
DOInot available

Abstract

fetched live from OpenAlex

In 2008, the Austrian economy is set to grow by 2.3 percent in volume. While lively activity in manufacturing, construction and tourism boosted GDP in the first quarter more strongly than expected earlier this year, a cyclical slowdown is under way. A major factor is the unabated increase in oil prices on world markets, which drives up inflation to a projected average rate of 3.5 percent this year. The implicit squeeze in household real disposable income restrains the growth of private consumption. The business cycle downturn spreading from the USA to the other industrialised countries will weigh on growth of Austrian exports, industrial output and investment. In 2009, therefore, GDP growth is expected to moderate to 1.4 percent. Whereas employment is posting strong gains in 2008, the downward trend in unemployment may turn around next year.

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)0.002
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 score0.016
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.028
GPT teacher head0.277
Teacher spread0.249 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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