Support Programs for Women Survivors of Sexualized Gender-Based Violence From African Conflict Zones: A Contextual Review
Bibliographic record
Abstract
The increasing attention paid to sexualized gender-based violence (GBV) against women in African conflict zones by the international community is a welcome development to many stakeholders, including scholars, policy makers, human rights advocates, international organizations, and nongovernmental organizations. Little is known, however, about the experiences of survivors who end up in Western host countries, such as Canada, as newcomers. Much less is known about their interactions with Western-based mental health care intervention models and the assumptions and understandings they hold about survivors’ histories and life circumstances before, during, and after migration. We argue, therefore, for studies that place the experiences of survivors in a broader social and political context—as one crucial facet of culturally effective interventions. This review of the state of knowledge reveals the gaps in literature, identifies areas for future research, and contributes to the search for effective intervention measures that could enhance survivors’ transition and integration into Western societies.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".