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Record W3193102979 · doi:10.17762/turcomat.v12i10.5486

Role of Information and Communication Technology (ICT) in Good Governance Process

2021· article· en· W3193102979 on OpenAlex
Et. al. Roshna Devi

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

VenueTürk bilgisayar ve matematik eğitimi dergisi · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCorruption and Economic Development
Canadian institutionsScience North
Fundersnot available
KeywordsInformation and Communications TechnologyLaggingPopularityDigitizationCorporate governanceGood governanceProcess (computing)Language changeBusinessInformation technologyE-governancePublic relationsKnowledge managementPolitical scienceComputer scienceTelecommunicationsWorld Wide Web

Abstract

fetched live from OpenAlex

With the growing popularity of Information and Communication Technology (ICT) in different fields, attempts have also been made to implement it in the area of good governance. ICT promotes the idea of digitization of the world in the form of using modern technologies and devices. Good governance as a holistic approach brings the idea of a citizen-friendly, corruption-free and a transparent administrative system. This paper outlines the role played by ICT in the good governance process by advocating the view that in comparison to the developed countries; the developing countries are lagging far behind in getting the benefit of ICT in the good governance process.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.583
Threshold uncertainty score0.393

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.008
GPT teacher head0.258
Teacher spread0.249 · 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