Welfare state change as a double movement: Four decades of retrenchment and expansion in compensatory and employment‐oriented policies across 21 high‐income countries
Bibliographic record
Abstract
Abstract We conceptualise and measure welfare state change across 21 high‐income countries as a continuum delineated by a double movement, that is, the combined change of compensatory and employment‐oriented policies. Our double movement framework readapts Polanyi's concept into the context of welfare state change. We analyse this double movement across four decades using Principal Component Analysis and a new indicator that compares spending in 2015 to maximum and minimum spending levels since the 1980. We contribute to the literature in three ways. First, we empirically document an overall change in spending for compensatory and employment‐oriented policies, with the latter becoming more prominent over time. This change is more pronounced in the 1990s and even more so in the 2000s, and partially reduced classic regime differences. The PCAs generate a Cartesian space where each country is positioned across time (the 1980s, the 1990s, the 2000s and the 2010s) and space (within four quadrants, i.e., ‘the strong employment‐oriented space’, ‘the weak employment‐oriented space’, ‘the strong compensatory space’, and ‘the weak compensatory space’). Second, we develop a fivefold taxonomy of welfare state change characterised by: (1) retrenchment in Canada, Germany, Ireland, Netherlands, Sweden and the United Kingdom; (2) abridged adaptation in Australia, Belgium, Finland, Norway, Spain and the United States; (3) minor expansionary adaptation in Greece, Italy, Japan, Portugal and Switzerland—where spending levels were low in the 1980; (4) adaptation with an equilibrium between the two movements in New Zealand and (5) strong expansionary adaptation in Austria, Denmark and France. Overall retrenchment and abridging adaptation prevail over expansionary adaptation—this is due to cutbacks of unemployment, family allowances and active labour market programmes not being counterbalanced by the expansion of childcare. Third, we critically interpret these changes, introducing the double movement concept into comparative social policy.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".