Retrenched Welfare Regimes Still Lessen Social Class Inequalities in Health
Bibliographic record
Abstract
This article builds on recent work that has explored how welfare regimes moderate social class inequalities in health. It extends research to date by using longitudinal data from the EU-SILC (2003-2010) and examines how the relationship between social class and self-reported health and chronic conditions varies across 23 countries, which are split into five welfare regimes (Nordic, Anglo-Saxon, Eastern, Southern, and Continental). Our analysis finds that health across all classes was only worse in Eastern Europe (compared with the Nordic countries). In contrast, we find evidence that the social class gradient in both measures of health was significantly wider in the Anglo-Saxon and Southern regimes. We suggest that this evidence supports the notion that welfare regimes continue to explain differences in health according to social class location. We therefore argue that although downward pressures from globalization and neoliberalism have blurred welfare regime typologies, the Nordic model may continue to have an important mediating effect on class-based inequalities in health.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".