Female Genital Mutilation and Early Marriage: A Violent on the Health of the Girl-Child in Boki Local Government Area of Cross River State, Nigeria
Bibliographic record
Abstract
This study investigates the effects of female genital mutilation and early marriage as violence on the health of the girl-child in Boki Local Government Area of Cross River State, Nigeria. To achieve the purpose of this study, two hypotheses were formulated to guide the study. Survey research design was adopted for this study. A sample of two hundred (200) respondents was randomly selected for the study. The selection was done through the simple random sampling technique. The questionnaire was the main instrument used for data collection. It was constructed by the researchers with the help of some measurement experts that gave its face and content validity. To test the hypotheses and ascertain whether to accept or reject them, Pearson Product Moment Correlation Analysis was considered appropriate because of the nature of variables involved. The 0.05 levels of significant were used for the statistical testing of each hypothesis with a critical value and degree of freedom. The result shows that there is significant effect of female genital mutilation and early marriage on the health of the girl-child. Based on these findings some recommendations and suggestions for further studies were made.
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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 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".