Prospects for Individual Economies
Bibliographic record
Abstract
The headline figure for US GDP growth in the final quarter of 2010 was perhaps slightly higher than expected given the slowdown in Europe and Japan, at an annualised rate of 3.1 per cent. But a closer look at the components of GDP reveals an underlying weakness in the US economy. Domestic demand stagnated in the final quarter of 2010, and the strong rise in GDP is entirely attributable to a 12.6 per cent (annualised) contraction in import volumes. The slowdowns in Europe and Japan should be seen as at least partly attributable to this loss of demand from the US, which remains the world's largest importer of goods and services, accounting for about 12½ per cent of world trade (see Appendix figure B3). Available information for the first quarter of 2011 suggests that consumer spending growth moderated to about 1½ per cent at an annualised rate, and we expect GDP growth in the US to average about 2½ per cent per annum this year and next.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.009 | 0.013 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.116 | 0.037 |
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".