Mental Health of Unaccompanied Immigrant Youth
Bibliographic record
Abstract
The number of UMY in Spain is increasing, since the early 1990s, mostly coming from the Maghreb, although the number of those coming from different sub-Saharan African countries has gradually increased. Most of them leave their countries fleeing poverty, violence, and in search of better opportunities. They may be influenced by traumatic experiences and social stressors that can lead to emotional distress and mental health problems. They have particular needs and characteristics, so the local Child Protection Systems need to adapt their procedures to facilitate the youngsters’ social Integration and psychosocial development. This presentation will describe an ongoing project being carried out in Catalonia, the main objective is to guarantee the right to mental health of UMY in the Protection System through culturally competent biopsychosocial care, and to effectively coordinate care between the public mental health network and the Child Protection System. Finally, through training and the acquisition of competencies, the aim is to avoid burnout in professionals who care for these youths on the front line. The approach is consistent with the cultural consultation models developed in Montreal and London with the goal of providing structural support for localized and culturally competent responses. This project, to be developed over two years, has four main subprojects: 1. On-line training for professionals in “Cultural competence in mental health and psychosocial intervention”. 2. Training of “peer” UMY as “Community Mental Health Agents”. 3. Creation and implementation of multidisciplinary groups of psychosocial intervention. 4. Culturally competent psychiatric and psychological assessment. Disclosure No significant relationships.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".