Bibliographic record
Abstract
This study analyzes the connection between business cycle fluctuations in Germany and Austria as well as the transmission of German shocks to Austria. Compared to Austria’s links with other countries, the ties between Austria and Germany have loosened in relative terms in recent years; in terms of gross domestic product (GDP), however, a strong and steady increase has been recorded. Static and dynamic correlation measures point to a consistently high level of co-movement between Austria and Germany. While the Austrian economy lagged behind the German economy by one quarter in the 1970s, it now leads the German economy by one quarter. The Austrian economy’s reaction to German shocks equals 0.4 times the German reaction. Monetary policy shocks are transmitted with the greatest impact, while supply and demand shocks trigger a far less pronounced reaction in Austria. Over time, monetary policy shocks have gained slightly in importance, while German demand shocks have become less important. On average across shocks, the transmission effect shows a marginal weakening. The relative importance of Germany and the international environment in explaining the forecast error for Austrian GDP has increased somewhat over time, whereas the domestic contribution to the forecast error has declined. On the whole, it is not possible to identify a decline in Germany’s importance for the Austrian economy.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".