The Troubling Epidemic of Wife-Battering in Ogbaru and Onitsha North Local Government Areas of Anambra State, Nigeria
Bibliographic record
Abstract
Purpose: Debates and assumptions on the trend, motives/causes and implications of wife-battering in Nigeria are largely speculative. The purpose of this article is to explore in a raw form, the socio-economic determinants of wife-battering, on the sub-areas of family violence. Methods: Using qualitative and quantitative research methods, a sample of 364 respondents comprising 196 males and 168 females was drawn from Anambra State, Nigeria. Multi-stage and purposive sampling techniques were used to reach the respondents. Questionnaire and in-depth interviews were instruments for data collection. Results: Findings confirmed that wife-battering in Ogbaru and Onitsha-North Local Government Areas is most often caused by denial of sex and infidelity. Conclusion: The policy implications calls for the creation of local government welfare units to be holding periodic talk shows for married couples on the imperative of living happily.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".