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Record W2114320929 · doi:10.1177/095207670301800302

Devolution and Intergovernmental Relations: The Emergence of Intergovernmental Affairs Agencies

2003· article· en· W2114320929 on OpenAlexaff
Gerard W. Horgan

Bibliographic record

VenuePublic Policy and Administration · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsWelshDevolution (biology)Public administrationCivil servantsGovernment (linguistics)Political scienceCentral governmentLocal governmentSociologyLawPolitics

Abstract

fetched live from OpenAlex

Systems of intergovernmental relations are an intrinsic feature of multi-tiered systems of government. In executive-dominated, Westminster-style parliamentary federations, these relations tend to be co-ordinated by specialist agencies located near the centre of government. Such agencies, though small, have been established in the UK government as well as in the Scottish and Welsh devolved administrations. To date, pre-devolution norms of friendly and informal relations among civil servants, and the continued primacy of decentralised, inter-departmental relations, have facilitated mostly cordial intergovernmental interaction. To the degree that future devolved administrations seek more persistently to pursue a coherent set of policy priorities in their relations with central government, they may choose to further centralise co-ordination of IGR. While such a move may well be warranted from a policy perspective, it may well also engender an institutional dynamic inimical to continued amicable relations between governments.

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)0.019
metaresearch head score (Gemma)0.024
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 score0.019
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.024
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.005
Science and technology studies0.0090.038
Scholarly communication0.0190.015
Open science0.0020.014
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0050.001

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 head0.025
GPT teacher head0.297
Teacher spread0.273 · 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

Citations2
Published2003
Admission routes1
Has abstractyes

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