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Record W4249845622 · doi:10.1177/0027950103184001004

The UK Economy

2003· article· en· W4249845622 on OpenAlexaboutno aff
Ray Barrell, Simon Kirby, Rebecca Riley, Martin Weale

Bibliographic record

VenueNational Institute Economic Review · 2003
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMonetary Policy and Economic Impact
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)EconomicsProfit marginInternational economicsMarket shareExchange rateProfit (economics)International tradeMonetary economicsGeography

Abstract

fetched live from OpenAlex

Economic growth at the turn of the year has been relatively weak. In the last quarter of 2002 the economy expanded by 0.4 per cent and, based on our estimates of monthly GDP, we anticipate growth of 0.3 per cent in the first quarter of this year. An important factor behind this weakness has been the poor performance of UK exports. Until recently, low export volumes were easily explained by the weakness of world trade. World trade volumes shrank throughout 2001, and have since increased only gradually. But, we estimate that the volume of world trade in goods, weighted using UK export market shares, is now close to its level at the end of 2000. In contrast, the volume of UK goods exports is currently around 7½ per cent below its peak level at the beginning of 2001. The loss of export market share was not evident until the second half of 2002 and comes after a period of remarkable stability in both the real exchange rate and export market share (chart 1). While it is possible that these observations can be attributed to temporary factors, they may instead indicate that the high level of the exchange rate since 1998, and the pressure this has put on exporters' profit margins, has left British exporters less able to cope with a sustained period of lower global demand. Data for the first two months of the year do not suggest that growth in export volumes in the first quarter of 2003 will be sufficient to regain the export market share lost towards the end of last 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 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 score0.839
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.015

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 head0.124
GPT teacher head0.284
Teacher spread0.160 · 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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