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Record W4235618072 · doi:10.1177/00279501031851005

The UK Economy

2003· article· en· W4235618072 on OpenAlexaboutno aff
Ray Barrell, Simon Kirby, Rebecca Riley

Bibliographic record

VenueNational Institute Economic Review · 2003
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGerman Economic Analysis & Policies
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)EconomicsInvestment (military)Real gross domestic productConsumption (sociology)Depreciation (economics)Equity (law)Monetary economicsMarket economyCapital formationGeography

Abstract

fetched live from OpenAlex

Economic growth has been disappointing in the first half of 2003. The economy expanded by 0.1 per cent in the first quarter. Based on our monthly estimates of GDP we estimate that economic growth accelerated to around 0.4 per cent in the second quarter, remaining below trend. The weakness in the first quarter of the year came as a result of little growth in household consumption expenditure at a time when the corporate sector remained weak. We expect this pattern to have continued in the second quarter, although our forecast for growth in household consumption expenditure is not as weak as recorded at the beginning of the year. Our forecast of quarterly GDP growth (chart 1) shows the economy expanding more rapidly in the second half of the year. Growth in the second half of the year is supported by government investment and consumption expenditure, and a gradual recovery of growth in export volumes and business investment. Growth in export volumes is helped by the depreciation of the sterling effective exchange rate in the first half of this year, although there has been some rebound in the index over the summer. Conditions for business investment have also improved. Equity prices have risen in the second quarter of the year, monetary policy has been eased and the increase in geopolitical uncertainty that probably dampened investment in the first half of the year has subsided.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.829
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.018

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 head0.055
GPT teacher head0.274
Teacher spread0.220 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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
Published2003
Admission routes1
Has abstractyes

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