Newspaper Coverage of Bank Verification Number Enrolment in Nigeria
Bibliographic record
Abstract
This study investigated Nigerian newspaper coverage of the Bank Verification Number (BNV) exercise with emphasis on story interpretation/ education, volume and prominence.The study applied content analysis while two newspapers-The daily Sun and The Leadership were selected for the study which duration was February 1 st 2015 to October 31 st 2015.A self developed questionnaire was used to collect data for the study.Result showed that 66.7% of the stories on BVN were found to be educative/ interpretative while only 33.3% were found not to be interpretative/ educative, findings also showed that 60.3% of the stories were on half page, 25% were quarter page while 14% were full page.The researcher also found that most (47%) of the stories on BVN were on inside page, followed by back page (17%), front page (17%) and centre page (15%).The researcher recommends, among others, Nigerian newspapers should improve in their coverage of BVN issues in the areas of volume and prominence.
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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) | 0.001 | 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".