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
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's Laval ruling 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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it