Global Prospects and Sources of Economic Growth
Bibliographic record
Abstract
Global output declined by 1 per cent in 2009, but the pace of recovery has been relatively rapid, especially in economies outside the OECD. We estimate that the level of global GDP regained its pre-crisis peak in the first quarter of 2010 (see figure A3 in the Appendix). The volume of world trade in goods and services remained some 6 per cent below its pre-crisis peak in the first quarter, but has rebounded by nearly 10 per cent since the trough reached in the second quarter of 2009 (see figure A2 in the Appendix). China remains a vital source of global demand. GDP increased by 11.9 per cent year-on-year in the first quarter of 2010, while imports of goods in US$ terms rose by more than 60 per cent over the same period. India also bears little scarring from the global crisis and the economy expanded rapidly throughout 2009. Other Asian economies, such as Taiwan, Hong Kong and Korea, have also recovered rapidly from the global recession, expanding by 6.3, 3.3 and 4.5 per cent, respectively, in the second half of 2009. Outside of Asia, Brazil and Mexico have seen a strong rebound in growth, although the level of output in Mexico remains well below its pre-crisis peak.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.007 |
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".