MétaCan
Menu
Back to cohort
Record W2082113915 · doi:10.1177/0095399702034004004

Democracy and Bureaucracy in the Age of the Web

2002· article· en· W2082113915 on OpenAlexaff
Todd M. La Porte, Chris C. Demchak, Martin de Jong

Bibliographic record

VenueAdministration & Society · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicE-Government and Public Services
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsBureaucracyOpenness to experienceGovernment (linguistics)DemocracyPoliticsLegitimacyPublic sectorCorporate governanceVariety (cybernetics)Private sectorIsomorphism (crystallography)Function (biology)Public relationsPolitical sciencePublic administrationBusinessEconomicsEconomic growthComputer science

Abstract

fetched live from OpenAlex

The foundations for governance in an information age are developing through the World Wide Web as it becomes the principal electronic public gateway into government organizations. Governmental openness is now important to a variety of strategies for governmental reform. The Web (a) makes government more efficient; (b) facilitates the functioning of new network-like arrangements between public organizations, the private sector, and citizens; and (c) empowers citizens to play a stronger role in interacting with government. We describe the concept of organizational openness and summarize a methodology to measure it on a worldwide basis. Data from 1997 through 2000 are presented, showing rapid diffusion of the Web and variation in levels of openness, even across countries with similar levels of economic and political development. Bureaucracies adopt Web technologies as a function not of traditional diffusion processes, but of emergent institutional isomorphism. Short-term prospects for responsive government improve, but so do unrealistic expectations affecting government legitimacy.

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)0.003
metaresearch head score (Gemma)0.008
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: none
Teacher disagreement score0.009
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.014
Scholarly communication0.0090.010
Open science0.0000.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.034
GPT teacher head0.296
Teacher spread0.262 · 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

Citations236
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueAdministration & SocietySame topicE-Government and Public ServicesFrench-language works237,207