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Record W1588518931

Report AIECE Working Group on Foreign Trade; Autumn 2008

2008· preprint· en· W1588518931 on OpenAlexaboutno aff
Gerard van Welzenis

Bibliographic record

VenueRePEc: Research Papers in Economics · 2008
Typepreprint
Languageen
FieldSocial Sciences
TopicRegional Development and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)CommodityWorld economyWorld tradeFellEconomicsFinancial crisisInternational tradeWork (physics)EconomyInternational economicsMacroeconomicsPolitical scienceGeographyFinanceEngineering
DOInot available

Abstract

fetched live from OpenAlex

The financial crisis is still spreading and deepening and is making inroads on the real economy. Forecasting is always "work in progress" but the exceptional situation today makes it feel like shooting at a moving target from a ship on the high seas. The forecasts of the Working Group were prepared at the beginning of October, starting off from data supplied by member institutes, prepared somewhere in the third quarter. We already took the liberty during our meeting to make bigger than usual adjustments to these national trade forecasts, to get closer to the rapidly deteriorating situation in the world economy. But it is clear that our efforts fell short of what we are experiencing today.Given the uncertainties, the Working Group did not think it opportune to prepare a completely new detailed trade forecast. Instead we present the data prepared early October, which already incorporate strong downward shifts in the overall outlook, but give ample attention to the current trends and risks. We also provide a model simulation estimating the possible effects on trade variables of the rapidly declining short-term growth outlook for the world economy, the weaker euro and the lower oil and other commodity prices. In the original forecast, world trade growth decelerated from 7.4% in 2007 via 5.0% in 2008 to 2.5% next year. The simulation suggests that world trade levels might actually decline in 2009.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.934
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.094
GPT teacher head0.368
Teacher spread0.274 · 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 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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