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Record W1600680347

Economic Indicators in Industry Stabilised at Low Level. Business Cycle Report of June 2009

2009· article· en· W1600680347 on OpenAlexaboutno aff
Ewald Walterskirchen

Bibliographic record

VenueAustrian Economic Quarterly · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicEducation in Diverse Contexts
Canadian institutionsnot available
Fundersnot available
KeywordsBusiness cycleQuarter (Canadian coin)RecessionUnemployment rateEconomicsUnemploymentIndustrial productionEconomic indicatorSeasonal adjustmentDemographic economicsAgricultural economicsKeynesian economicsMacroeconomicsMathematicsGeography
DOInot available

Abstract

fetched live from OpenAlex

The Austrian economy contracted by 2.6 percent during the first quarter, compared with the previous quarter, and by 3.5 percent, compared with the previous year. Owing to the downturn, the unemployment rate accelerated to 6.6 percent in May, exceeding the year-earlier level by 1½ percentage points. April and May saw production expectations in the industrial sector improve slightly, though.

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 score0.219
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.300
Teacher spread0.275 · 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
Published2009
Admission routes1
Has abstractyes

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