What Explains the German Labor Market Miracle in the Great Recession?
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
Germany experienced an even deeper fall in GDP in the Great Recession than the United States, with little employment loss. Employers’ reticence to hire in the preceding expansion, associated in part with a lack of confidence it would last, contributed to an employment shortfall equivalent to 40 percent of the missing employment decline in the recession. Another 20 percent may be explained by wage moderation. A third important element was the widespread adoption of working time accounts, which permit employers to avoid overtime pay if hours per worker average to standard hours over a window of time. We find that this provided disincentives for employers to lay off workers in the downturn. Although the overall cuts in hours per worker were consistent with the severity of the Great Recession, reduction of working time account balances substituted for traditional government-sponsored short-time work.
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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 | 0.000 | 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) | 0.003 | 0.002 |
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