Mental Health Effects of Premigration Trauma and Postmigration Discrimination on Refugee Youth in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This report examines the role of pre- and post-migration trauma in explaining differences in refugee and immigrant mental health. Data were derived from mother-youth refugee and immigrant dyads from six countries of origin who were living in Canada at the time of the study. Youth reports of emotional problems (EP) and aggressive behavior (AB) were the mental health outcomes. EP and AB were regressed on predictor blocks: a) status (refugee versus immigrant), visible minority, and gender; b) premigration trauma and postmigration discrimination; c) parent and youth human and social capital; d) poverty, neighborhood, and schools. Refugees suffered higher levels of EP and AB, premigration traumas, and discrimination. Postmigration perception of discrimination predicted both EP and AB and explained immigrant versus refugee differences in EP. Antirefugee discrimination net of discrimination based on immigrant or visible minority status has deleterious mental health consequences.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 it