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Record W2143620987 · doi:10.1017/s0007123402000169

Review Article: Understanding the Regulatory State

2002· article· en· W2143620987 on OpenAlexaboutno aff
Michael Moran

Bibliographic record

VenueBritish Journal of Political Science · 2002
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicRegulation and Compliance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRegulatory stateState (computer science)Political sciencePoliticsGovernment (linguistics)Quarter (Canadian coin)Subject (documents)Government regulationLaw and economicsLawSociologyChinaHistoryComputer science

Abstract

fetched live from OpenAlex

misunderstanding the regulatory state ? In the last quarter of the twentieth century something transformed government across the advanced capitalist world, and a large amount of comparative political enquiry is now concerned with pinning a convincing label on that transformation. Of the many candidates the subject of this review article has proved especially popular. As I will show, a regulatory state is now commonly said to exist in a wide range of geographical and institutional settings: writers speak of a regulatory state in the United States and in Britain; of the European regulatory state; and even of refinements like ‘a regulatory state inside the state’.

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)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.011
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.005
Science and technology studies0.0010.003
Scholarly communication0.0050.007
Open science0.0020.001
Research integrity0.0080.004
Insufficient payload (model declined to judge)0.0110.005

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 head0.069
GPT teacher head0.274
Teacher spread0.205 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations419
Published2002
Admission routes1
Has abstractyes

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