Post-Separation Experience of Male Victims of Intimate Partner Violence in Southern Nigeria
Bibliographic record
Abstract
Studies of intimate partner violence (IPV) among heterosexual male victims have predominantly focused on pre-separation experiences with post-separation experiences largely overlooked. In under-resourced settings such as Africa, where research on male victimization is limited, little is known about the post-separation experiences of male victims. This study used grounded theory methodology to examine the post-separation experiences and coping strategies of thirty-two heterosexual male victims in Nigeria. Using content analysis based on category development, three themes emerged: “Haunted self,” “Changed self,” and “Coping with the haunted and changed self.” “Haunted self” emphasizes the long-term negative impacts on male victims’ physical and mental health, along with ongoing victimization by their ex-partners. “Changed self” reflects the negative effects of their experiences on perceptions and attitudes toward new intimate relationships. “Coping with the haunted and changed self” describes various adaptive and maladaptive strategies used to manage these issues. While adaptive strategies like help-seeking did not yield consistent positive outcomes, benevolent reappraisal was generally beneficial. Lessons learned proved detrimental for some victims who made premature decisions based on hasty conclusions. Maladaptive strategies such as self-loathing, regret, and self-blame caused further harm. The findings indicate a need for policymakers, practitioners, and researchers to collaborate on implementing compulsory post-separation therapy sessions for both victims and perpetrators.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 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".