Intimate Partner Violence: The Silent Enemy Among African Immigrant Women
Bibliographic record
Abstract
Intimate partner violence among immigrant and minority groups remains a social and health problem that has garnered little attention. African immigrant women particularly face intersectional challenges (e.g., language barriers, unemployment, and lack of access to health care, resources, and services) that heighten their vulnerability to partner violence. Yet, knowledge about their experiences remains elusive in empirical research. Examining the nature and extent of their experience can provide valuable insights that could enhance research and practice on partner violence. The purpose of this generic qualitative study was to explore the experiences of African immigrant women survivors of partner violence in Edmonton, Alberta, Canada, identify coping strategies, and determine the effects of the experience on their well-being. The study utilized a feminist theoretical framework to describe the effects of patriarchy, inequality, discrimination, and injustice on the vulnerability of women to partner violence, with a particular focus on the issue within the context of Canada. Thematic analysis of qualitative semi-structured interview with nine African immigrant women from Edmonton, Alberta was performed. Findings suggest that the women’s experiences were characterized by multiple forms of partner violence, novel coping and survival strategies, and damages to core self and transformation. Based on the study, practitioners will gain increased understanding of the experiences of African immigrant women survivors of partner violence and be inspired to design interventions and measures for social change. Formulation of best practices for support programs and services, social policy, and structural reforms, as well as evidence-based research on partner violence among African immigrant women will be enhanced.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".