An Evaluation of the Impact of Media Campaign Against Female Genital Mutilation (FGM) in the Rural Communities of Enugu State, Nigeria
Bibliographic record
Abstract
This paper investigates the impact of media campaign against Female Genital Mutilation (FGM) in the rural areas of Enugu State. One hundred and sixty three women attending the antenatal clinics in six rural communities and twenty-four heads of Women groups were selected as sample for this cross-sectional survey. Structured questionnaire and interview were used to collect data while analysis of the data was done with SPSS version 20.0. The results reveal among others that the media campaign against FGM in Enugu state is ineffective. It further reveals that cultural values (51%), poor network reception (23%), epileptic power supply (18%), inaccessible media, and the nature of the content of the campaign are responsible for the ineffectiveness. Given the findings, the researchers recommends the modernization of the media and the contents of its FGM campaign for rural reach/accessibility, the development of pro-Igbo cultural programmes against FGM practice, and the use of visual methods to establish/prove the relationship between FGM, infections/diseases and maternal deaths. Further empirical research on FGM – maternal health care in Enugu State is recommended.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".