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Record W3122991202 · doi:10.47577/tssj.v15i1.2230

Public Administration and Democracy: The Virtue and Limit of Participatory Democracy as a Democratic Innovation

2021· article· en· W3122991202 on OpenAlexaff
Sirvan Karimi

Bibliographic record

VenueTechnium Social Sciences Journal · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicE-Government and Public Services
Canadian institutionsYork University
Fundersnot available
KeywordsBureaucracyDemocracyPejorativePoliticsIdeologyPublic administrationCivic virtueCorporate governanceVirtueAccountabilityDemocratic deficitPolitical scienceSociologyPolitical economyEconomicsLawManagement

Abstract

fetched live from OpenAlex

The expansion of public bureaucracy has been one of the most significant developments that has marked societies, particularly Western liberal democratic societies. Growing political apathy, citizen disgruntlement and the ensuing decline in electoral participation reflects the political nature of governance failures. Public bureaucracy, which has historically been saddled with derogatory and pejorative connotations, has encountered fierce assaults from multiple fronts. Out of these sharp criticisms of public bureaucracy that have emanated from both sides of the ideological spectrum, attempts have been made to popularize and advance citizen participation in both policy formulation and policy implementation processes as innovations to democratize public administration. Despite their virtue, empowering connotations and spirit-uplifting messages to the public, these proposed practices of democratic innovations not only have their own shortcomings and are conducive to exacerbating the conditions that they are directed to ameliorate but they also have the potential to undermine the traditional administrative and political accountability mechanisms.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.129
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0040.002
Scholarly communication0.0010.001
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 head0.097
GPT teacher head0.362
Teacher spread0.264 · 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

Citations5
Published2021
Admission routes1
Has abstractyes

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