Creative expression workshops as Psychological First Aid (PFA) for asylum-seeking children: An exploratory study in temporary shelters in Montreal
Bibliographic record
Abstract
BACKGROUND: Considering the growing number of asylum-seeking children worldwide, research on interventions which may buffer the effects of early resettlement conditions on asylum-seeking children's adjustment is warranted. In Canada, creative expressive workshops for asylum-seeking children and adolescents were implemented as a Psychological First Aid (PFA) intervention in temporary shelters. The present exploratory study aims to describe the implementation of these workshops to assess whether the intervention met core elements of PFA and explore its potential in supporting the diverse needs of asylum-seeking youth in temporary shelters, adopting a process-evaluation research approach. METHOD: The intervention was evaluated via a qualitative thematic analysis of extensive field and supervision notes and focus groups with facilitators. RESULTS: Preliminary results suggest that the intervention contributed to fostering emotional safety and a sense of normalcy in children and supported the creation of connections among both children and parents. Children's expression of past and present experiences during the workshops was seen as a way to promote self-efficacy in children and was reported as a potential way to provide some comfort and hope in a time of high instability. However, the high needs of children and the lack of resources in the temporary shelters represented significant challenges and barriers. CONCLUSIONS: PFA using creative expression may be a promising youth mental health prevention intervention in temporary shelters.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".