Associations among migration risk factors, cultural identity conflict, and psychological symptoms among Syrian emerging adults with refugee backgrounds in the Netherlands
Bibliographic record
Abstract
OBJECTIVES: In the present study, we examined relations between premigration, perimigration, and postmigration risk factors (i.e., potentially traumatic events [PTEs], postmigration living problems [PMLPs], stressful life events) and psychological symptoms (i.e., anxiety/depression, posttraumatic stress) in Syrian emerging adults with refugee backgrounds; we also tested cultural identity conflict as a possible mediator of these relations. We expected that greater exposure to migration risk factors was associated with more psychological symptoms and that higher cultural identity conflict would contribute to these associations. METHODS: We used data from the first wave of Karakter, a longitudinal study of 158 Syrians with refugee backgrounds (69.0% men, age range 18-35). Participants completed a questionnaire assessing PTEs, PMLPs, stressful life events, cultural identity conflict, and symptoms of anxiety/depression and posttraumatic stress. RESULTS: Correlational analyses indicated that more PTEs and stressful life events were related to higher levels of cultural identity conflict and more psychological symptoms. Furthermore, greater cultural identity conflict was associated with more psychological symptoms. We did not observe indirect effects of cultural identity conflict in the mediation analyses. CONCLUSIONS: Results suggest that postmigration stressors and cultural identity conflict are associated with psychological symptoms among Syrian emerging adults who have resettled in the Netherlands.
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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 | 0.005 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".