The impact of immigration detention on the mental health of refugees and asylum seekers
Bibliographic record
Abstract
Studies consistently report that asylum seekers held in immigration detention have relatively high rates of mental distress, yet evidence of the long-term impact of immigration detention is limited. Using propensity score-based methods, we estimated the impact of immigration detention on the prevalence of nonspecific psychological distress, using the Kessler-6, and probable posttraumatic stress disorder (PTSD), using the PTSD-8, among participants in a national sample of asylum seekers in the 5 years following their resettlement in Australia (N = 334). At Wave 1, the prevalence of nonspecific psychological distress was high among all participants regardless of detainment status, OR = 0.28, 95% CI [0.04, 2.06], and did not change over time for either detainees (n = 222), OR = 1.01, 95% CI [0.46, 2.18], or nondetainees (n = 103), OR = 0.81, 95% CI [0.39, 1.67]. In contrast, the odds of probable PTSD were significantly higher for former detainees, OR = 8.20; 95% CI [2.61, 26.73], than nondetainees at Wave 1; although they declined among former detainees, OR = 0.56, 95% CI [0.38, 0.82]), and increased among nondetainees, OR = 1.57, 95% CI [1.11, 2.23], in the years following resettlement. These results imply the use of immigration detention to manage unauthorized migration increases the prevalence of probable PTSD in the short term among former detainees who have resettled in Australia.
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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) | 0.000 | 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".