When the poetry no longer rhymes: Mental health issues among Somali immigrants
Bibliographic record
Abstract
Abstract To identify and explore cultural dynamics influencing the psychiatric care of immigrant Somalis in the USA, we reviewed demo-graphic data from Minnesota Departments of Human Services, and interviewed health professionals, exploring community perceptions of medical/psychiatric needs, cultural characteristics, barriers to care, and potential solutions. An informal survey of 37 members of the Mayo Clinic Department of Psychiatry and Psychology, to determine caregiver percep-tions of care of Somali patients, cited language barriers (74%), and cultural misperceptions (68%) as the most frequent obstacles. Difficulties working within the patriarchal family structure, limited community resources, poor compliance, and financial issues ranged between 18 and 8%. Additional barriers mentioned were problems working with interpreters from ‘warring clan factions, ’ patients ’ fears of being labeled ‘crazy, ’ difficulties viewing illness within an emotional framework, and the need to address mental health from a physical framework through a focus on somatic symptoms. Somalis rarely acknowledge psychiatric problems and common traditional treatments have become ineffective in the new context. Recommendations include alternative health care approaches utilizing family values, ‘bargain-ing, ’ and educational approaches to acculturation. Key words acculturation • culture • immigrant • psychiatry • Somali Vol 44(4): 581–595 DOI: 10.1177/1363461507083899 www.sagepublications.com Copyright © 2007 McGill University transcultural psychiatry
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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 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".