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Record W2163341566 · doi:10.1080/01900690903000187

The Public Sector Reform Movement: Mapping the Global Policy Network

2009· article· en· W2163341566 on OpenAlexaff
Leslie A. Pal, Derek Ireland

Bibliographic record

VenueInternational Journal of Public Administration · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicPolicy Transfer and Learning
Canadian institutionsCarleton University
Fundersnot available
KeywordsPublic sectorNetwork governanceCorporate governancePolicy transferPublic policyPublic administrationCoherence (philosophical gambling strategy)Reform movementEconomicsPolitical scienceEconomic growthFinanceEconomyPolitics

Abstract

fetched live from OpenAlex

Public sector reform in both developed and developing countries has now become a routine matter of public policy—reform is almost continuous, if not always successful. While the role of international transfer agents such as the World Bank and the Organization for Economic Cooperation and Development (OECD) in promoting reforms has often been noted, there has been no comprehensive mapping of the global network on public sector reform. This article makes a first attempt to map the close to 100 organizations that make up a loose global network around public administration and governance. It then provides a brief history of the evolution of the network, and the key events that encouraged a substantial degree of coherence among its members. It examines the practices and tools that are specific to this global public policy network, and concludes with some observations on policy transfer models. The article shows that in trying to understand the dynamics of public administration reform, we need to pay greater attention to this network, its members, and its influence over national policy priorities.

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)0.008
metaresearch head score (Gemma)0.015
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0080.010
Science and technology studies0.0040.011
Scholarly communication0.0090.014
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.000

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 head0.059
GPT teacher head0.363
Teacher spread0.305 · 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

Citations43
Published2009
Admission routes1
Has abstractyes

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