The Global Economy and the Euro Area: Weak International Trade, Robust Domestic Demand: DIW Economic Outlook
Bibliographic record
Abstract
The current global economic environment remains harsh. Global growth rates stagnated in the fourth quarter of 2018, particularly affected by foreign trade. DIW Berlin’s forecast indicates global economic growth of 3.7 percent for 2019 and 3.6 percent for 2020. Positive stimuli are expected from catch-up effects (in the European automobile industry, for example) and the continued positive development on the labor markets, which will support consumption. However, the outlook for international trade is dominated by trade conflicts, political uncertainties, and a weaker Chinese economy. Although the trade conflict between the USA and China is beginning to ease, there are signs of a dispute between the USA and the European Union over EU automobile and car part exports to the USA. In Europe, the possibility of a no-deal Brexit and the political situation in Italy are causing uncertainty. Against this backdrop, monetary policy is likely to be expansionary in the forecast period.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.006 |
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".