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Record W2154952945 · doi:10.1002/pa.60

‘New managerialism’ in the news: media coverage of quangos in Britain

2001· article· en· W2154952945 on OpenAlexaff
David Deacon, Wendy A. Monk

Bibliographic record

VenueJournal of Public Affairs · 2001
Typearticle
Languageen
FieldArts and Humanities
TopicScottish History and National Identity
Canadian institutionsGolder Associates (Canada)
Fundersnot available
KeywordsMainstreamEthosGovernment (linguistics)NewspaperPublic administrationState (computer science)Perspective (graphical)Public relationsPolitical scienceManagerialismMedia coverageWork (physics)SociologyMedia studiesLawEngineering

Abstract

fetched live from OpenAlex

Abstract This paper presents findings from the first systematic appraisal of mainstream news reporting of the appointive government in Britain. Such a perspective is urgently needed in the light of the expanded role and influence of ‘Quasi‐Autonomous Non Governmental Organisations’ in public affairs. This paper provides an overview of long‐term trends in media reporting of general principles of quasi‐government and an examination of the routine coverage of public bodies that can be classified as quangos. These related exercises show that the ‘new managerialist’ ethos that fuelled the recent expansion of the appointive state finds little endorsement in general media discourses about the quango state, but is often implicitly reflected in journalists' treatment of specific organisations and their work. Copyright © 2001 Henry Stewart Publications

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)0.005
metaresearch head score (Gemma)0.018
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.006
Science and technology studies0.0020.004
Scholarly communication0.0070.003
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.046
GPT teacher head0.241
Teacher spread0.195 · 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
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

Citations17
Published2001
Admission routes1
Has abstractyes

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