Applying the ADAPT Psychosocial Model to War-Affected Children and Adolescents
Bibliographic record
Abstract
Multiple individual, social, and environmental factors have long been recognized as influencing a child’s response to traumatic experiences. However, there remain few socio-ecological frameworks to guide researchers and practitioners working with war-affected children. This article examines Silove’s psychosocial model of adaptation and development after trauma and persecution (ADAPT model) in relation to war-affected children. The utility of the model is explored by examining whether the systems of safety, attachment, identity, justice, and existential meaning described in the ADAPT model are represented in a narrative review of research from the last 20 years on the experiences of war-affected children and adolescents. Results suggest that research with war-affected children has covered all five psychosocial pillars in the model, but with overemphasis on the safety, followed by the attachment, domains. This review highlights that need for research and psychosocial interventions that focus on adaptation of war-affected children’s identity development, sense of justice, and meaning systems.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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; 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".