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Record W2138959334 · doi:10.1177/089443930101900107

E-Governance and Smart Communities

2001· article· en· W2138959334 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

VenueSocial Science Computer Review · 2001
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicUniversity-Industry-Government Innovation Models
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPoliticsCorporate governanceSovereigntyInterdependenceGlobalizationPolitical scienceWork (physics)RubricEconomic systemPolitical economySociologyPublic administrationPublic relationsEconomicsEngineeringManagementLaw

Abstract

fetched live from OpenAlex

The new information and communications technologies (NICT) and globalization have brought forth a period of great change. Globalization has triggered more intense economic and political interdependencies and has challenged fundamental assumptions about sovereignty and the role of the nation-state. As networks increasingly take hold and reshape the way people live, communicate, and work, the question of what kind of governance people will need in the new millennium is raised. Some elements of answers have been put forward under the general rubric of e-governance. It suggests a more community-based model of governance with greater connectivity being facilitated by new technology. Application of NICT locally leads to economic, social, and political transformations encapsulated by the new smart community movement. This article provides some preliminary mapping of how the collective intelligence of the communities would operate and how the new governance structures would work.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.936
Threshold uncertainty score0.507

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
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 head0.049
GPT teacher head0.262
Teacher spread0.213 · 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