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Record W4411309594 · doi:10.1002/pad.70002

Citizen Empowerment in the Digital Era: Redefining Administrative Legitimacy and Power Dynamics

2025· article· en· W4411309594 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePublic Administration and Development · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEthics and Social Impacts of AI
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsLegitimacyTransparency (behavior)AccountabilityEmpowermentPublic administrationScrutinyPolitical sciencePublic relationsBureaucracySocial movementCivil societyCorporate governanceGrassrootsSociologyPoliticsEconomicsLawManagement

Abstract

fetched live from OpenAlex

ABSTRACT In an era defined by unmatched digital connectivity and vibrant global activism, traditional hegemonic power structures are increasingly subject to scrutiny and transformation. This article examines how technological innovations, dynamic social movements, and emergent forms of global citizenship are reshaping public administration. These converging forces enhance transparency, accountability, and citizen participation, while simultaneously challenging conventional bureaucratic models and established notions of administrative legitimacy. Social movements, empowered by digital platforms, are not only contesting top‐down governance but also fostering new avenues for collective action and civic engagement. As these processes unfold, traditional administrative systems are being reimagined to accommodate the demands of a digitally empowered citizenry, creating a governance landscape that is more decentralized and responsive. This commentary highlights the complex interchange between digital governance, social mobilization, and global identity formation, and explores their implications for public policy and institutional accountability. It underlines both the potential of these forces and the risks they pose, such as exacerbating existing inequalities and power imbalances. Ultimately, the article calls for a comprehensive rethinking of public administration that adopts the benefits of this digital revolution while ensuring equity, transparency, and responsiveness in a rapidly interconnected world.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
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 score0.901
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0020.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.363
Teacher spread0.317 · 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