The psychological effects of forced family separation on asylum-seeking children and parents at the US-Mexico border: A qualitative analysis of medico-legal documents
Bibliographic record
Abstract
The U.S. government forcibly separated more than 5,000 children from their parents between 2017 and 2018 through its "Zero Tolerance" policy. It is unknown how many of the children have since been reunited with their parents. As of August 1, 2021, however, at least 1,841 children are still separated from their parents. This study systematically examined narratives obtained as part of a medico-legal process by trained clinical experts who interviewed and evaluated parents and children who had been forcibly separated. The data analysis demonstrated that 1) parents and children shared similar pre-migration traumas and the event of forced family separation in the U.S.; 2) they reported signs and symptoms of trauma following reunification; 3) almost all individuals met criteria for DSM diagnoses, even after reunification; 4) evaluating clinicians consistently concluded that mental health treatment was indicated for both parents and children; and 5) signs of malingering were absent in all cases.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.010 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".