Stronger together: Community resilience and Somali Bantu refugees.
Bibliographic record
Abstract
OBJECTIVES: Refugee populations are at risk of adverse mental health outcomes. It is important to identify refugee strengths at the community level that can be leveraged to overcome barriers to well-being. In pursuit of this goal, this study focuses on identifying what promotes community resilience among Somali Bantu refugees in the United States. METHOD: Researchers used snowball-sampling strategies in a large New England city to recruit 81 Somali Bantu youth and adults to participate in 14 focus groups conducted between 2011 and 2013. Researchers used principles of thematic content analysis to analyze data specific to the construct of community resilience. RESULTS: Authors identified 2 main components of Somali Bantu community resilience: independence and cultural preservation. There were 2 themes related to promoting community resilience among Somali Bantu: commitment to community, and religion and spirituality. CONCLUSIONS: We discuss the importance of identifying culturally informed components of community resilience that can be used to develop services for refugee populations. (PsycINFO Database Record (c) 2020 APA, all rights reserved).
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".