Intimate partner violence in the post-war context: Women’s experiences and community leaders’ perceptions in the Eastern Province of Sri Lanka
Bibliographic record
Abstract
BACKGROUND: Exposure to armed conflict and/or war have been linked to an increase in intimate partner violence (IPV) against women. A substantial body of work has focused on non-partner rape and sexual violence in war and post-war contexts, but research about IPV is limited, particularly in Asian settings. This paper presents the finding of a study conducted in the Eastern Province of Sri Lanka. The study explored women's experiences of and responses to IPV as well as how health and social service providers perceive the problem. It also explored the IPV-related services and supports available after the end of a 30-year civil war. METHOD: We conducted in-depth, qualitative interviews with 15 women who had experienced IPV and 15 service providers who were knowledgeable about IPV in the Eastern Province of Sri Lanka. Interviews were translated into English, coded and organized using NVivo8, and analyzed using inductive thematic analysis. RESULTS: Participants described IPV as a widespread but hidden problem. Women had experienced various forms of abusive and controlling behaviours, some of which reflect the reality of living in the post-war context. The psychological effects of IPV were common, but were often attributed to war-related trauma. Some men used violence to control women and to reinstate power when their gender roles were reversed or challenged due to war and post-war changes in livelihoods. While some service providers perceived an increase in awareness about IPV and more services to address it, this was discordant with women's fears, feelings of oppression, and perception of a lack of redress from IPV within a highly militarized and ethnically-polarized society. Most women did not consider leaving an abusive relationship to be an option, due to realistic fears about their vulnerability to community violence, the widespread social norms that would cast them as outsiders, and the limited availability of related services and supports. IMPLICATIONS: These findings revealed the need for more research about IPV in post-war contexts. Women's experiences in such contexts are influenced and may be masked by a complex set of factors that intersect to produce IPV and entrap women in violence. A more nuanced understanding of the context-specific issues that shape women's experiences of IPV- and community responses to it-is needed to develop more comprehensive solutions that are relevant to the local context.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".