Bibliographic record
Abstract
Jonas Pontusson is a political science professor at Princeton University who in the recent past has been known to critique social democracy, particularly in Sweden, from a socialist perspective.1 However, the thrust of the book under review here is to provide an empirical and analytical rationale that social democratic regimes (especially those of the Nordic nations) have performed well in economic and social terms in the post-World War II era in comparison with other capitalist nations but especially in comparison with the neo-liberal United States. Indeed, some other forms of social welfare regimes in Western Europe have also done better than has the United States, thus setting up Pontusson’s sub-title of “social Europe versus liberal America.” It is an examination of what Pontusson refers to as “comparative political economy” with a focus on finding similarities, and particularly differences, among Western industrialized capitalist economies. Pontusson believes that while capitalism inevitably generates inequalities in the distributions of wealth and income, nonetheless, there can be a wide range among them in terms of how adversely the majority of their citizenries are affected. Neo-conservative, neo-liberal, moderate or centrist, welfare-state liberal, and social democratic governments can, and do, make some differences in how unequal economic inequality is. In his comparative analysis, Pontusson has chosen to focus on economic indicators rather than on political (and social) indicators and analysis. In order to further such a presentation he has developed a typology which is as follows: smes (social market economies which encompass Germany, Austria,
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.030 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".