Perceptions of War Trauma and Healing of Marital Relations Among Torture‐surviving Congolese Couples Participating in Multicouple Therapy
Bibliographic record
Abstract
Citizens of the Democratic Republic of Congo (DRC) experienced widespread torture during national wars between 1998 and 2003. Couples who survived and stayed intact suffered tremendous relationship stress. This study used a critical ethnography framework to explore the prewar, wartime, and postwar experiences of 13 torture-surviving couples who participated in a 10-session Torture-Surviving Couple Group in 2008 in the DRC. The group was designed to address the relational effects of torture and war trauma. Participants reported profound negative effects of the war on their relationships; mostly positive experiences during the group, including marital and peer connection and relationship growth; and a number of improvements in their relationship after the group. Implications include support for the use of relational interventions informed by both treatments for traumatic stress and couple approaches to promote trauma healing. Future directions call for increased funding, research, training, and clinical action to treat the effects of traumatic stress on relational family dynamics.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| 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".