The Lost and the New ‘Liberal World’ of Welfare Capitalism: A Critical Assessment of Gøsta Esping-Andersen's<i>The Three Worlds of Welfare Capitalism</i>a Quarter Century Later
Bibliographic record
Abstract
Celebrating the 25th birthday of Gøsta Esping-Andersen's seminal book The Three Worlds of Welfare Capitalism (1990), this article looks back at the old ‘liberal world’ and examines the new. In so doing, it contributes to debates and the literature on liberal welfare state development in three main ways. First, it considers the concept of ‘liberalism’ and liberal ideas about welfare provision contained within Three Worlds . Here we are also interested in how liberal thought has conceptualised the (welfare) state, and the class-mobilisation theory of welfare-state development. Second, the article elaborates on ‘neo-’liberal social reforms and current welfare arrangements in the English-speaking democracies and their welfare states. Finally, it considers the extent to which the English-speaking world of welfare capitalism is still meaningfully ‘liberal’ and coherent today.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".