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Record W2185655146 · doi:10.7202/1039078ar

Re-examining the Rhetoric of Public Management Reform from a Critical Management Studies Perspective

2017· article· en· W2185655146 on OpenAlexvenueno aff
Joshua Jebuntie Zaato

Bibliographic record

VenueRevue Gouvernance · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsnot available
Fundersnot available
KeywordsManagerialismNew public managementSociologyCritical management studiesPublic valuePublic administrationIdeologyRhetoricPolitical sciencePublic sectorSocial scienceLaw

Abstract

fetched live from OpenAlex

Public management reform is mostly presented as a rational, technical and objective process in public administration discourse. Driven by the neo-liberal ideological assault on the welfare state and influenced by the “private is better” mantra, it has been claimed, especially by NPM/Managerialism advocates, that there are superior ideas, concepts and models out there which are value free and have universal validity and application. It is also claimed that the adoption and implementation of these ideals can secure the goals of efficiency, efficacy and economy in public organization. Based on an analysis of the critical management literature however, this paper (1) explores the extent to which concepts such as visionary and strategic leadership, teamwork, empowerment and improved organizational culture which are integral to the NPM/Managerialist claims are value free; (2) contests and interrogates their universality of adoption and application; and (3) explores and examines the relevance and theoretical contributions of critical management studies (hereafter CMS) to NPM in particular and public management reform in general.

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)0.027
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.026
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.003
Science and technology studies0.0070.072
Scholarly communication0.0130.017
Open science0.0020.006
Research integrity0.0060.012
Insufficient payload (model declined to judge)0.0020.000

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 head0.209
GPT teacher head0.461
Teacher spread0.252 · 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 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
Published2017
Admission routes1
Has abstractyes

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