Connections between family violence and violence in the public sphere in Afghanistan
Bibliographic record
Abstract
Abstract Afghanistan has endured over four decades of violence in the public sphere, such as war and suicide attacks. To effectively provide psychosocial counseling using a psychodynamic approach in Afghanistan, it is crucial to recognize the potential connection between ongoing public violence and high rates of family violence. In 2019, we conducted a study to explore the relationship between public violence and family violence among Kabul residents, including those seeking counseling and those who were not. Our cross-sectional mixed methods survey recruited 299 participants from a psychosocial counseling service as well as community members who were not receiving the service. The findings revealed a significant positive correlation between experiences of public violence and family violence. Both clients and non-clients reported experiencing high levels of violence, which led to impairments in daily functioning and increased suicidality. Additionally, a thematic analysis of open-ended questions indicated changes in attitudes resulting from exposure to violence, including feelings of helplessness and hopelessness both in and out of the home. We conclude that applying a psychodynamic approach to psychosocial counseling in Afghanistan requires awareness of the positive correlation between public violence and family violence in a society that has been exposed to violence in the public sphere for over forty years. Mental health care needs to contribute towards breaking cycles of violence by empowering clients to take control of their lives and become agents of change within their families and communities.
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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 | 0.002 | 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 | 0.005 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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; both teacher heads agree on what is shown here.
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".