Children and Families Seeking Asylum in Northern Norway: Living Conditions and Mental Health
Bibliographic record
Abstract
Abstract The mental health of children seeking asylum and their families is a somewhat neglected area of research. Research on refugee children and children living with adversities suggests that environmental factors are crucial in preventing mental health problems. In this study, we aim to identify central environmental conditions that affect the mental health of children living with their families at governmental asylum processing centres in northern Norway. This study has a qualitative design, and is based on 11 focus group interviews with the staff at asylum processing centres. The interviews were transcribed verbatim and analysed focusing on important risk and protective factors for mental health problems presented by the informants. The results highlighted time spent at asylum centres and the parent's mental health as the most important risk factors. Schooling, activities, general living conditions and poor economy were also seen as crucial. The findings suggest that these children are indeed vulnerable, and at high risk of developing mental health problems. Their rights are, however, open to local interpretations, and they fall between two stools; their right to proper health care, and national and international immigration policies.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 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".