Can Policy Interact with Culture? Minimum Wage and the Quality of Labor Relations
Bibliographic record
Abstract
Can public policy interfere with culture, such as beliefs and norms of cooperation? We investigate this question by evaluating the interactions between the State and the Civil Society, focusing on the labor market. International data shows a negative correlation between union density and the quality of labor relations on one hand, and state regulation of the minimum wage on the other hand. To explain this relation, we develop a model of learning of the quality of labor relations. State regulation crowds out the possibility for workers to experiment negotiation and learn about the true cooperative nature of participants in the labor market. This crowding out effect can give rise to multiple equilibria: a "good" equilibrium characterized by strong beliefs in cooperation, leading to high union density and low state regulation; and a "bad" equilibrium, characterized by distrustful labor relations, low union density and strong state regulation of the minimum wage. We then use surveys on social attitudes and unionization behavior to document the relation between minimum wage legislation and the beliefs about the scope of cooperation in the 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 | 0.005 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".