The Politics of the Welfare State: Canada, Sweden, and the United States
Bibliographic record
Abstract
The Politics of the Welfare State: Canada, Sweden, and the United States, Gregg M. Olsen, Toronto: Oxford University Press, 2002, pp. vi, 258 This book presents a familiar puzzle in comparative politics: how are we to understand variation in the design and scope of social programs and substantive outcomes for citizens in the three welfare states under scrutiny. As Olsen argues, all three cases are “advanced, industrialized, and highly affluent capitalist nations…. and all three nations enjoy average per capita incomes and standards of living that are among the highest in the world” (10). Yet we find great variation on a number of social indicators such as poverty levels, and income and wealth disparities. All three have also “experienced marked increases in inequality and welfare state retrenchment in recent years” (11) but yet “they continue to differ along these dimensions, even in the face of similar domestic strains and other exogenous pressures related to global integration” (11). The question is how do we account for the variation in the use of social policy to assuage inequalities and respond to these exogenous pressures.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.010 |
| Science and technology studies | 0.025 | 0.021 |
| Scholarly communication | 0.015 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| 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".