Perpetration and Experience of Spousal Violence Among Nigerian Women: An Analysis of the 2008 and 2013 NDHS
Bibliographic record
Abstract
Various socioeconomic and demographic factors have been known to be associated with spousal violence. The intimate partner violence (IPV) experiences of Nigerian women have been investigated from feminist and life course perspectives from previous studies. However, studies have also pointed to the complexities of victimhood with the presence of IPV perpetration. But there have been few studies on the impact of perpetration of violence on the experience of victimization, and this study seeks to address that gap in knowledge within the Nigerian context. It seeks to understand the dynamics of perpetration and the experience of spousal violence among Nigerian women across 2008 and 2013. The study analyzed the 2008 and 2013 Nigerian Demographic Health Survey (NDHS) data. Using binary logistic regression, the study showed that the perpetration of violence is significantly associated with a woman's victimization experience, after controlling for socioeconomic, demographic, and abuse variables in 2008 and 2013. This study does not in any way minimize the victimization experiences of Nigerian women but simply seeks to provide data that add nuance to our understanding of spousal violence and the possible existence of bidirectional violence among Nigerian spouses.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".