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Record W7014681805

Price and cost competitiveness. Quarterly report on the price and cost competitiveness of the European Union and its Member States. Fourth quarter 2000. ECFIN/44/4/00-EN

2000· other· en· W7014681805 on OpenAlexaboutno aff

Bibliographic record

VenueArchive of European Integration (AEI) (University of Pittsburgh) · 2000
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCurrencyExchange rateCompetitor analysisRelative priceForeign exchange riskPrice levelEuropean unionRelative valueValue (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

The euro against major international currencies:• During the fourth quarter of 1999, the US dollar appreciated by almost.6% against the euro.The Japanese yen strengthened by 9% and the pound sterling by 4% against the euro.The Swiss franc was stable against the euro.In all, the nominal effective exchange of the euro depreciftted by some 4% against the currencies of 13 industrialised countries.• The nominal effective exchange rate of the euro has de}>reciated by about 11% since the changeover.This depreciation has brought the nominal effective exchange rate of the euro area to its lowest level since mid-1997.Relative cost and price indicators: international developments• Together with subdued price and costl developments, exchange rate developments led to an additional gain in• the cost competitiveness of euro area producerS by 1% in the• fourth quarter of 1999, on top of the 8% gain in the first three quarters of the year.In terms of relative unit labour costs, the cost competitiveness of the EUR11 is• at its most favourable since 1985.• Relative unit labour costs in EUR11 .compared to the USA are now 18% below the 1987-98 average.Relative to Japan, unit labour costs •are 22% below their 1987-9~ average .. Relative cost and price indicators: intra-EMU developments .

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)0.002
metaresearch head score (Gemma)0.005
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: Other · Consensus signal: none
Teacher disagreement score0.053
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.009
Science and technology studies0.0000.000
Scholarly communication0.0040.003
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0340.020

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 head0.012
GPT teacher head0.206
Teacher spread0.193 · 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
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
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueArchive of European Integration (AEI) (University of Pittsburgh)French-language works237,207