Demography as a Determinant of Awareness, Knowledge and Attitude of Asaba Youth to Media Advocacy Campaign on Sickle Cell Disorder
Bibliographic record
Abstract
In a localized attempt to address the inevitable status of Nigeria as the biggest host of patients of sickle cell anaemia, the Delta state government sponsored a media centered initiative to attract public attention to sickle cell disease as well as to the victims of the disorder. This study examined the influence of the media advocacy campaign on youth’s awareness, knowledge and attitude to the disease using the questionnaire survey method involving 300 participants randomly selected from the capital city, Asaba. The results showed that demographic variables such as age, gender, income and religious affiliations had varying influence on awareness, knowledge and attitude of respondents. Although respondents exhibited modest awareness and knowledge of the disorder, it emerged that they arrived at this level of knowledge through information acquired from sources other than the state sponsored media campaign on sickle cell. The study concluded that the media advocacy campaign on sickle cell disorder was yet to resonate with the target population.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".