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Conservative Ideas and Social Policy in the United States

2007· article· en· W2085233592 on OpenAlexaff
Daniel Béland, Alex Waddan

Bibliographic record

VenueSocial Policy and Administration · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsBlueprintConservatismIdeologyPresidencyPresidential systemPolitical sciencePublic administrationDominance (genetics)Political economySociologyPoliticsLaw

Abstract

fetched live from OpenAlex

Abstract This article explores social policy development in the United States since the beginning of the George W. Bush presidency. Starting from an analysis of the discourse about compassionate conservatism at the centre of the 2000 presidential campaign and proceeding to a discussion of the meaning of the more recent ownership society blueprint, it underlines the fragmented nature of the conservative policy agenda in the United States. Yet, the article suggests that, despite this fragmentation, the ideological dominance of the right and the related absence of needed reform in key policy areas are of great significance for the future of federal social policy. Overall, the article shows how paying close attention to the nature of conservative ideas improves our understanding of social policy development in the United States. As argued, the old liberal and the traditionalist sides of American conservatism have inspired distinct yet related blueprints and reform proposals that both promote a scaling‐down of existing federal social programmes and a return to traditional forms of economic security (i.e. charity and personal savings). The article underlines the relationship between these blueprints and policy drift.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.021
Scholarly communication0.0070.002
Open science0.0000.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.056
GPT teacher head0.409
Teacher spread0.353 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations56
Published2007
Admission routes1
Has abstractyes

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