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Record W3198257860

Public Sector Reforms: Changing Contours on an NPM Landscape

2013· article· en· W3198257860 on OpenAlexfundno aff
Noel Hyndman, Mariannunziata Liguori

Bibliographic record

VenueResearch Portal (Queen's University Belfast) · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsnot available
FundersQueen's UniversityQueen's University Belfast
KeywordsNew public managementPublic sectorPoliticsCorporate governancePublic administrationGovernment (linguistics)Political scienceState (computer science)AccountingSociologyLaw and economicsPolitical economyEconomicsLawManagement
DOInot available

Abstract

fetched live from OpenAlex

Previous studies suggest that, over the last decades, public-sector accounting has moved from Public Administration (PA) to New Public Management (NPM) ideas, and more recently, towards a New Public Governance (NPG) approach. These systems are presented as mutually exclusive and competing. Through an extensive document analysis, this paper explores whether convincing movement towards NPG ideas can be identified at the level of political debate and to what extent the ideas embedded within PA, NPM and NPG systems show themselves in these discussions. The study focuses on accounting, budgeting and performance measurement changes in the UK central government starting from the 1990s. The findings show little evidence that NPM is a transitory state in the evolution from a regime of traditional PA to NPG, a claim made by some commentators. Furthermore, the UK political debate continues to predominantly utilise NPM arguments, with the three systems viewed as containing complementary, rather than competing, schemes. This has resulted in layering, rather than the replacement of ideas.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.930
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.076
GPT teacher head0.352
Teacher spread0.276 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations1
Published2013
Admission routes1
Has abstractyes

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