The Low-Wage Sector in Germany Is Larger Than Previously Assumed
Bibliographic record
Abstract
The total number of dependent employees in Germany has increased by more than four million since the financial crisis. Part of this growth took place in the low-wage sector. Analyses based on data from the Socio-Economic Panel, which in 2017 for the first time include detailed information on secondary employment, show that there were around nine million low-wage employment contracts in Germany that year, around one quarter of all contracts. Women, young adults and employees in Eastern Germany are particularly likely to receive low wages. The legal minimum wage introduced in 2015 is below the low-wage threshold, and thus did not decrease the proportion of low-wage employees, although wages at the bottom-end of the distribution did markedly increase. Wage mobility has hardly changed since the mid-1990s: almost two thirds of employees in the lowest wage category were still there three years later. In order to curtail the low-wage sector, a better and broader qualification of workers, as well as a more proactive wage policy are called for. A reform of the mini-job rules would also be helpful.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".