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Proving the Potential of Independent Commissions: A Critical Review of the Richard Commission on the Powers and Electoral Arrangements of the National Assembly for Wales

2005· review· en· W2011543177 on OpenAlexaff
L. L. McAllister

Bibliographic record

VenuePublic Administration · 2005
Typereview
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsInstitute on Governance
FundersLlywodraeth CymruGovernment of the United Kingdom
KeywordsCommissionInsiderPublic administrationPolitical scienceGovernment (linguistics)Corporate governancePoliticsLawAdministration (probate law)Law and economicsSociologyEconomicsManagement

Abstract

fetched live from OpenAlex

This article examines the composition, operation and recommendations of an independent commission, the Richard Commission on the Powers and Electoral Arrangements of the National Assembly for Wales, which was set up in July 2002 and reported in March 2004. It is written from an insider's perspective (I served as a member of the Commission) and discusses the way in which the Commission functioned, its deliberations and its report, emphasizing the unprecedented nature of its evaluation of Welsh politics and public administration. The article highlights the lasting significance of the Richard Commission report, not only in Wales, but for future governance arrangements across the United Kingdom as a whole. It considers more generally the functions of commissions and suggests a continued role for them in assisting the various activities of government.

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)0.050
metaresearch head score (Gemma)0.116
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.050
Threshold uncertainty score0.265

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0500.116
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0100.014
Science and technology studies0.0020.007
Scholarly communication0.0090.007
Open science0.0020.003
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0010.001

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 head0.124
GPT teacher head0.419
Teacher spread0.295 · 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 designQualitative
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

Citations11
Published2005
Admission routes1
Has abstractyes

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