Dualized Labor Market and Polarized Health: A Longitudinal Perspective on the Association between Precarious Employment and Mental and Physical Health in Germany
Bibliographic record
Abstract
This study analyzes the longitudinal association between precarious employment and physical and mental health in a dualized labor market by disaggregating between-employee and within-employee effects and considering mobility in precariousness of employment. Analyses were based on the German Socio-Economic Panel from 2002 to 2018 considering all employees ages 18 to 67 years (n = 38,551). Precariousness of employment was measured as an additive index considering working poverty, nonstandard working time arrangements, perceived job insecurity, and low social rights. Health outcomes were mental and physical health. Random effects models were used and controlled for sociodemographic and socioeconomic variables. Results indicated that the association between precariousness of employment and mental and physical health is mainly based on between-employee differences and that prolonged precariousness of employment or upward or downward mobility are associated with poor health. We found evidence of polarization in health by precariousness of employment within a dualized labor market.
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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 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".