Towards Effective Use of ICTS and Traditional Media for Sustainable Rural Transformation in Africa
Bibliographic record
Abstract
Development programmes initiated by governments in parts of Africa aimed at improving the living standard of the people, have either achieved minimal success or failed because of the negative attitude of the people. One issue that has therefore dominated discussions among development agencies and initiators in Africa is that of dealing with the people’s attitudes and responses to issues of development. This paper is therefore geared towards exploring ways in which ICTs and traditional media could become effective tools in the campaigns and mobilization for the adoption of innovations, which is central to rural development in Africa. The method of content analysis using review of existing document such as books, journals, periodicals, case record and others documented by government, individuals and organization s was utilized. The findings revealed that the majority of the people in Africa lived in the rural areas and were not abreast with information about government programmes aimed at improving them. Apart from acknowledging the basic challenges confronting policy makers, development communicators and other stakeholders in the development process, the paper recommends among others, that governments in Africa should create the enabling environment for the ICTS to be effectively used and synergized with traditional media in achieving development communication goals at all levels.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".