The Role of Mass Media in Rural Information System in Nigeria
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.
Bibliographic record
Abstract
The article examined rural reporting in Nigeria and discovered that the only thing that constitute news for reporters in the country is only when a strange thing negative happens in the rural areas. For example, when there is ritual sacrifice, community clashes, rape, murder, etc.. The press hardly reports any good news about the rural communities in Nigeria. For example, when there is peace, harmony and self-efforts at rural development undertaken by the initiative of the rural community leaders, it is hardly given attention by the press reporters in Nigeria. Consequently, rural poverty continues to increase unabated but the Nigerian press reporters could not effectively expose the deplorable conditions under which the rural dwellers live in. The bias of the reporters is in favour of the urban dwellers who are adjudged to be learned, enlightened and understand the meaning and importance of news. The reporters argue that if the news reported upon is not essentially urban oriented, the patronage especially in the print-media would be very low. The study concluded by observing that the trend should be reversed immediately. In fact the news reporters in Nigeria should show more patriotism in the coverage of events in the rural areas. This is the only way government could know and understand the plights of the rural dwellers for effective public policy-making to reduce the present level of rural poverty and reverse the current rise in rural-urban migration in the country.
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 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 | 0.011 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.056 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it