Coping with the long‐term impact of civil strife: A grief‐centered analysis of Tamil Sri Lankan communities affected by ethnopolitical conflict
Bibliographic record
Abstract
Limited research has examined coping mechanisms in response to chronic war-related stressors, as opposed to war-exposure trauma. The current study sought to investigate the types of losses experienced by communities affected by the Sri Lankan conflict, how participants responded to their losses, and what coping mechanisms they employed. Data consisted of interviews from two independent investigations conducted following the end of the conflict in Northern Sri Lanka (total N = 103). Interview transcripts were analyzed using a directed content analysis approach. Participants most frequently described experiencing material loss and loss of loved ones. Relatedly, participants commonly reported experiencing ambiguous loss, that is, living with the uncertainty of their loved one's death. These losses were particularly pronounced by gender, with women experiencing higher rates of loss. Common coping strategies included support-seeking, including informal support from social networks and religion, and formal mental health services. Additionally, participants described a range of longer term coping strategies from establishing a future-oriented cognitive style to a sense of helplessness and resignation. The findings shed light on how conflict-affected groups cope with profound loss. We provide recommendations for how such findings can inform grief-related clinical interventions.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".