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Record W4242912393 · doi:10.1177/0027950107083048

Prospects for the UK Economy

2007· article· en· W4242912393 on OpenAlexaboutno aff
Ehsan Khoman, Simon Kirby

Bibliographic record

VenueNational Institute Economic Review · 2007
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGerman Economic Analysis & Policies
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)EconomicsPaceReal gross domestic productAnnual growth %Agricultural economicsEconomyMacroeconomicsGeography

Abstract

fetched live from OpenAlex

During 2006, output in the UK economy grew by 2.8 per cent and the robust pace of economic growth has continued in the first half of this year. After a first estimate of quarterly GDP growth of 0.7 per cent into the first quarter of this year, the official preliminary estimate suggests that the economy expanded by 0.8 per cent into the second quarter. The economy continues to be driven by business services and finance, although the production sector actually reported quarterly growth for the first time since the first quarter of 2006. The economy is now operating around full capacity, and has recovered from the weakness that was apparent in 2005. We have revised up our forecast for this year to 2.8 per cent per annum, from 2.7 per cent per annum in our April forecast. This is due to an upward revision to estimates of GDP growth at the end of 2006 and more robust growth than we had anticipated in the first half of this year. We expect growth of just below the trend rate for the remainder of the forecast period as domestic demand growth moderates.

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)0.003
metaresearch head score (Gemma)0.009
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 score0.080
Threshold uncertainty score0.267

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.002
Scholarly communication0.0090.008
Open science0.0010.004
Research integrity0.0070.004
Insufficient payload (model declined to judge)0.0800.033

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 head0.068
GPT teacher head0.302
Teacher spread0.234 · 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
Published2007
Admission routes1
Has abstractyes

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