Family Environment and Emotional and Behavioural Symptoms in Adolescent Cambodian Refugees: Influence of Time, Gender, and Acculturation
Bibliographic record
Abstract
For young refugees, the turmoil of adolescence is exacerbated by the acculturation process that sometimes places them at odds with the traditional culture of their ethnic group. The family environment can affect how adolescents cross that pivotal period. This paper focuses on the influence of family environment, gender and acculturation on the mental health of young refugees from early to mid-adolescence. Sixty-seven Cambodian adolescents were followed up from early to mid-adolescence. The effects of the youths' acculturation level, gender, and family environment and structure on internalising and externalising symptoms were analysed through linear regression analyses. Family conflict tends to increase from early to mid-adolescence. The association between family environment and mental health changes over time and, overall, family environment is associated with externalisation whereas gender, acculturation level, and family structure influence internalisation. Cambodian girls and boys cope differently with the challenges of adolescence in the host country, adopting traditional strategies and borrowing new ones from the host culture. Family therapy may help the parents and their adolescents address this process of change, which is both a source of vulnerability and of fulfilment, and enhances the ability of the family to negotiate between the cultural worlds of the home and of the host countries.
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.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".