Taking ‘Big Government Conservatism’ Seriously? The Bush Presidency Reconsidered
Bibliographic record
Abstract
This article reflects on the ongoing debate about the ideological direction of the Bush presidency and what it means for the future of US conservatism in domestic policy. The paper considers the dual nature of US conservatism and then goes on to explore the ‘conservative promise’ of the 2000 presidential election and the debate over what critiques of the Bush administration have come to call ‘big government conservatism’. Finally, the article studies two examples of how this alleged ‘big government conservatism’ has been manifested. First, the article contemplates the administration's fiscal policy. Second it looks at the 2003 reform of the Medicare system. We argue that, although these two cases provide some ground to the idea of ‘big government conservatism’, in the end this phenomenon does not add up to a coherent policy vision. Overall, beyond tax cuts, the Bush administration has failed to implement a bold conservative agenda.
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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 | 0.019 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.025 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.010 | 0.017 |
| Insufficient payload (model declined to judge) | 0.003 | 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".