Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.013 |
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 it