Stakeholders' Perceptions of the Impact of the Global System for Mobile Communications on Nigeria Rural Economy: Implications for an Emerging Communications Industry
Bibliographic record
Abstract
Purpose – The major purpose of the study was to examine the impact of GSM on the economies of the rural dwellers in Nigeria, specifically, on job creation, time management, reduction in crime rate and their general income flow. *Methodology/ Approach- The study adopted a descriptive survey research design, and data was collected using a questionnaire administered to one thousand respondents randomly selected from ten rural communities in a part of Nigeria. *Research Limitations/ Implications- The sample was taken from a state of the federation out of the 36 states in Nigeria, however, the rural communities represent typical rural villages in the country, hence, the findings could be generalized for the whole country. *Practical Implications- The GSM is an emerging communication industry in Africa, with Nigeria rated as one of the fastest growing market in this field of communication. However, the impact of the communication system is largely felt in the urban cities, the impact on the rural dwellers is still marginally poor. Hence, focus should be shifted to the utilization of the GSM for the development of rural economies in Africa, Nigeria inclusive. *The Originality/ Value of the Paper- The paper is a product of a recent survey carried out by the authors; hence the findings reported here are original and reflect the current views and practices in the rural communities in Nigeria with regards to the impact of the communication mode. Apart from some ‘market’ researches in this area, this perhaps represents one of the few academic thorough researches in the field in Nigeria. Key Words: Nigeria, Communications, Global System of Communication, Economy, Rural, Industry.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".