The Remaking of Leviathan: The State and Public Sector Reform in Advanced Capitalist Countries
Bibliographic record
Abstract
This article argues that recent comparatives literatures on the welfare state have yet to adequately consider the public sector and how governments have reshaped their public services. Drawing on macro-level data from the OECD, qualitative studies, and trade union research, it is claimed that governments have substantially remade their administrative and financial procedures in order to cut expenditures and lower labour costs. It is also contended that because of financial globalization and rising debt, states have made a series of reforms to public sector industrial relations. These have worsened wages, working conditions, and jobs throughout the public sector. It is concluded that such developments are central to reforming the nature of state functioning across North America and Western Europe. This is the first study to report on government reforms to fiscal policies, public sector services, and public sector labour forces in 13 OECD countries between 1980-2005.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.004 |
| 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".