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Record W4413241160 · doi:10.1111/padm.70012

Governance and Accountability in Reshaping Public Services: Open Challenges and Wicked Problems of the 21st Century

2025· article· en· W4413241160 on OpenAlexfundno aff
Carmela Barbera, Laurence Ferry, Noel Hyndman, Mariannunziata Liguori, Sean McCandless, Henry Midgley

Bibliographic record

VenuePublic Administration · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsnot available
FundersQueen's UniversityQueen's University Belfast
KeywordsAccountabilityCorporate governanceLegitimacyNeoliberalism (international relations)Transparency (behavior)Public servicePublic administrationEquity (law)Public relationsService delivery frameworkPower (physics)SociologyPolitical scienceStakeholderService (business)BusinessPoliticsEconomicsPolitical economyManagementLaw

Abstract

fetched live from OpenAlex

ABSTRACT Issues of accountability are ubiquitous in public governance. Accountability connects with other concerns like legitimacy, power, citizen engagement, and new modes of service production. These issues and connections become all the more poignant given the evolving landscape of public services amidst the backdrop of 21st‐century poly‐crises. The pieces in this special issue explore these dynamics, particularly concerning shifting governing modes, contractual arrangements, performance management, and digitalization. New service delivery models introduce complexities beyond efficiency, impacting power dynamics and stakeholder interests. In this introductory piece, the editors preview these issues, highlight the enduring questions from the literature informing this special issue, and summarize the 14 pieces. The editors end by reflecting on accountability's importance through discussions of accountability for neoliberalism and performance measurement, contracting out, liberty, democracy, social equity, and human‐centered public governance.

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)0.018
metaresearch head score (Gemma)0.027
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 score0.025
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.027
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0060.039
Scholarly communication0.0250.019
Open science0.0020.008
Research integrity0.0070.013
Insufficient payload (model declined to judge)0.0040.001

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 head0.093
GPT teacher head0.382
Teacher spread0.289 · 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

Citations5
Published2025
Admission routes1
Has abstractyes

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