Bibliographic record
Abstract
Compared with the steep, persistent increase in unemployment that the Great Recession triggered in the United States, its effect on unemployment in Germany was surprisingly mild. While U.S. unemployment soared from 4.8 percent to 9.5 percent between the fourth quarter of 2007 and the fourth quarter of 2010, the German unemployment rate actually fell from 7.6 percent to 6.4 percent over the same period (Figure 1).1 The marked contrast may make one wonder whether the magnitude of the recession itself was smaller in Germany. Actually, the severity of the recession as measured by the drop in output was greater in Germany than in the United States. German output, as measured by the peak-to-trough difference in real gross domestic product, declined roughly 10 percent, while U.S. output declined 7 percent (Figure 2). Germany?s more severe downturn makes its labor market response to the Great Recession even more surprising. No wonder it is sometimes referred to as the ?German labor market miracle.?
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".