World Economy Autumn 2018 - Less even growth in the world economy with significant downside risks
Bibliographic record
Abstract
The global economy is losing steam. After a weak start in the beginning of this year, world production accelerated again in the second quarter of 2018. However, the recent expansion probably overstates its underlying momentum. At the same time, the expansion is becoming less even as compared to last year. In addition, global economic prospects remain subject to significant downside risks in light of increasing trade tensions, investors withdrawing funds from emerging markets, and uncertainty concerning the effect of renewed Iran sanctions on oil prices. Our forecast for global growth in 2018 nevertheless remains unchanged at 3.8 percent; for 2019 we slightly revise downwards-by 0.1 percentage points-to 3.5 percent. In 2020 world output is expected to rise by 3.4 percent. Despite the gradual global economic slowdown, capacity utilization in advanced economies will remain high. As a consequence, inflationary pressures will gradually increase beyond the current temporary pick-up of inflation stemming from higher oil prices.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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; both teacher heads agree on what is shown here.
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".