Working for less? Women's part-time wage penalties across countries
Bibliographic record
Abstract
This paper investigates wage gaps between part- and full-time women workers in six OECD countries in the mid-1990s. Using comparable micro-data from the Luxembourg Income Study (LIS), for Canada, Germany, Italy, Sweden, the UK, and the US, the paper first assesses cross-national variation in the direction, magnitude, and composition of the part-time/full-time wage differential. Then it analyzes variations across these countries in occupational segregation between part- and full-time workers. The paper finds a part-time wage penalty among women workers in all countries, except Sweden. Other than in Sweden, occupational differences between part- and full-time workers dominate the portion of the wage gap that is explained by observed differences between the two groups of workers. Across countries, the degree of occupational segregation between female part- and full-time workers is negatively correlated with the position of part-time workers' wages in the full-time wage distribution.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| 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".