The World Economy: Global impact of financial market and oil price developments
Bibliographic record
Abstract
Global growth was at its strongest for over 20 years in 2004, and is expected to decline from 5.1 per cent to 4.4 per cent in 2005. Growth stabilised in the first half of 2005, after decelerations in the US in the first half of 2004 and in the European Union in the second half of 2004. Of the major economies, only Japan recorded a significant strengthening in the first half of the year relative to the previous six months, and on a global level this was offset by modest slowdowns in North America. The slowdown in Canada, illustrated in chart 1, reflects a sharp deceleration in export growth, while domestic demand growth outpaced all other major economies in the first half of 2005. World trade growth moderated somewhat from the rapid growth recorded in 2004, with a sharp slowdown in import growth from the Euro Area, accompanied by more modest decelerations in the US, Japan, the UK and Canada.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".