Psychological Distress and the Asylum Process
Bibliographic record
Abstract
Although asylum seeking has become a major political issue in the Western world, research on its psychological impact is still in its infancy. This study examined levels and predictors of distress among a community sample of persons who have sought asylum in Ireland. A key aim was to provide a longitudinal analysis of the relationship between legal status security and psychological distress. Distress was measured by the Symptom Checklist-90-Revised at Time 1 (N = 162) and its shorter version (the Brief Symptom Inventory) at Time 2 (N = 70). Levels of severe distress were high at both baseline (46%) and follow-up (36%). The only persons to show a decrease in distress were those who had obtained a secure legal status (e.g., refugee status or residency) between the study phases. Distress risk factors included female gender, an insecure legal status, separation from children, discrimination, and postmigration stress. Protective factors were social support (Time 1) and the presence of a partner. The findings suggest that asylum seekers are a high-risk group for distress. This risk can be reduced by appropriate policy changes and interventions to increase social resources.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".