Young children’s development after forced displacement: a systematic review
Bibliographic record
Abstract
OBJECTIVES: To examine the impact of displacement experiences on 0- to 6-year-old children's social-emotional and cognitive development, as well as influencing factors on reported outcomes. STUDY DESIGN: We systematically searched MEDline, Psyndex, Cochrane Library, Web of Science, Elsevier, TandF, Oxford Journal of Refugee Studies, Journal of Immigrant & Refugee Studies, and Canada's Journal on Refugees for existing literature regarding social-emotional and cognitive outcomes in children directly exposed to forced displacement due to political violence. Results were synthesized in the discussion and displayed using harvest plots. RESULTS: Our search generated 9,791 articles of which 32 were selected for review and evaluation according to NICE criteria. Included studies provided results for 6,878 forcibly displaced children. Measured outcomes were diverse and included areas such as peer relations, prosocial behavior, family functioning, play, intelligence, learning performance, and language development. Repeated exposure to adverse experiences, separation from parents, parental distress, as well as duration and quality of resettlement in the host country were reported as influencing factors in the reviewed studies. CONCLUSION: As protective factors like secure and stable living conditions help to promote children's development, we call for policies that enhance participation in the welcoming society for refugee families. Early integration with low-threshold access to health and educational facilities can help to mitigate the wide-ranging negative consequences of forced displacement on young children's development.
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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 | 0.005 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".