Bibliographic record
Abstract
One counterintuitive variation in wage-setting regulation is that countries with the highest labor standards and strongest labor movements are among the least likely to set a statutory minimum wage. This, the author argues, is due largely to trade union opposition. Trade unions oppose the minimum wage when they face minimal low-wage competition, which is affected by the political institutions regulating industrial action, collective agreements, and employment, as well as by the skill and wage levels of their members. When political institutions effectively regulate low-wage competition, unions oppose the minimum wage. When political institutions are less favorable toward unions, there may be a cleavage between high- and low-wage unions in their minimum wage preferences. The argument is illustrated with case studies of the UK, Germany, and Sweden. The author demonstrates how the regulation of low-wage competition affects unions’ minimum wage preferences by exploiting the following labor market institutional shocks: the Conservatives’ labor law reforms in the UK, the Hartz labor market reforms in Germany, and the European Court of Justice'sLavalruling in Sweden. The importance of union preferences for minimum wage adoption is also shown by how trade union confederation preferences influenced the position of the Labour Party in the UK and the Social Democratic Party in Germany.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.010 | 0.017 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.028 | 0.008 |
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".