Readership Pattern of Indigenous Language Newspapers Among Selected Nigerian
Bibliographic record
Abstract
Indigenous language press which was the harbinger of journalism in Nigeria is suffering serious neglect. The neglect reflects in a number of ways among which is poor readership. Although, the fact of poor readership of indigenous language newspapers is a common knowledge, but it lacks empirical documentation as many researches on readership of newspapers were concentrated on newspapers written in English. This research attempt therefore examined the readership pattern of Indigenous language newspapers among selected university undergraduates and compared the pattern of readership of English and Indigenous language newspapers. The study is a survey of 150 students of Ajayi Crowther University selected through purposive sampling. Data were generated with Indigenous language Newspaper Readership Pattern Instrument (ILNRPI).The results reveal poor readership pattern of Indigenous Language newspaper with the readership pattern of English Language newspapers faring better. On the basis of the findings, useful suggestions were made. Key words: Indigenous; Language; Readership pattern; Undergraduates
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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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| 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 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".