Efficient Internet Connectivity to Rural Area: An Approach to Implement Effective Cashless Policy to Improve Micro Economic Activities in Nigeria
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".