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Record W4405653095 · doi:10.5539/cis.v18n1p53

Efficient Internet Connectivity to Rural Area: An Approach to Implement Effective Cashless Policy to Improve Micro Economic Activities in Nigeria

2024· article· en· W4405653095 on OpenAlexvenueno aff
Enyia Emmanuel Chijioke, Izunobi Anthony Okechukwu, E. Oliver, Sampson Ikenna Ogoke, Agbakwuru Onyekachi Alphonsus, Amanze Bethran Chibuike

Bibliographic record

VenueComputer and Information Science · 2024
Typearticle
Languageen
FieldEngineering
TopicICT Impact and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceThe InternetWorld Wide Web

Abstract

fetched live from OpenAlex

Internet connectivity is a vital tool which plays a crucial role in providing the digital support for the diversification of the economy through improving the knowledge of the micro economic using ICT tool as an enabler. In 2012, the central bank of Nigeria (CBN) launched the cashless policy aimed at promoting the use of electronic payment methods such as debit cards, mobile money, and internet banking in order to digitized payments, however, 12 years on, how effective has the policy been? This research study unveils the challenges ranging from financial literacy, infrastructure deficit, poor internet network connectivity, poor road network connecting rural areas to urban areas as drawback factors which is why the cashless policy has not been effective. The result of this study explain that there is need for the federal government and concern stakeholders to develop and implement an efficient internet which will help to close the digital gap between the rural and urban areas in Nigeria and also help the cashless policy to drive the micro Economic activities in Nigeria.

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)0.000
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.485
Threshold uncertainty score0.566

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
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 head0.008
GPT teacher head0.261
Teacher spread0.253 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations0
Published2024
Admission routes1
Has abstractyes

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