Bibliographic record
Abstract
OBJECTIVES: Little research has focused on the relation of immigration and suicidal behaviour in youth. Nevertheless, the impact of migration on the mental health of youth is an issue of increasing societal importance. This review aimed to present studies on the prevalence of suicidal behaviour in immigrant youth in various countries and to provide possible explanations for suicidal behaviour in immigrant youth, especially regarding acculturation. METHODS: The review included a literature search to locate articles on the subject of suicidal behaviour in immigrant youth in the context of acculturation. RESULTS: Studies on suicidal behaviour in culturally diverse youth are few and most of the existing research does not differentiate ethnic minorities from immigrants. Studies on epidemiology and on specific risk factors were found regarding various immigrant youth including Hispanics in the United States, Asians in North America and Europe, as well as comparative studies between different immigrant groups in specific countries. CONCLUSIONS: The relation between immigration status and suicidal behaviours in youth appears to vary by ethnicity and country of settlement. Time spent in the new country as well as intergenerational communication and conflicts with parents have, in many of the studies, been related to suicidality in immigrant youth. Summing up, there is a clear and urgent need to further pursue the work in this field, to develop targeted public health interventions as well as psychosocial treatment for preventing suicide in these youth.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".