Lessons Learnt on Designing a Community-Based Participatory Research Study on Trauma: A Qualitative Study with Arabic Speaking Refugee Newcomers and Their Service Providers
Bibliographic record
Abstract
Few studies engage refugee newcomers in the design phase of a research project even when studying issues that are of significance to them. This preliminary study aimed to engage Arabic speaking refugee newcomers living with trauma and their service providers in designing a community-based participatory research (CBPR) approach to the study of trauma within this community. Focus groups with Arabic speaking refugee newcomers and their service providers confirm participants’ views of trauma as a significant issue in their lives, affirm CBPR’s principles of participation and action-oriented research, and highlight the benefit of research that informs the integration of trauma responses within resettlement processes. Lessons learnt about implementing a CBPR approach to studying trauma include addressing power imbalances in research, the essential role of action within research, and the value of experiential knowledge and engagement.
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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 | 0.077 | 0.122 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.012 | 0.024 |
| Scholarly communication | 0.013 | 0.020 |
| Open science | 0.006 | 0.012 |
| Research integrity | 0.009 | 0.013 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".