The Mental Health of Male Sexual Minority Asylum Seekers and Refugees in Nairobi, Kenya: A Aualitative Assessment
Bibliographic record
Abstract
Very little information exists about the experiences of asylum seekers and refugees who are men who have sex with men (MSM). Therefore, this study explores the psychological distress of MSM asylum seekers and refugees in the Nairobi metropolitan area. We collected data using in-depth interviews transcribed verbatim, coded using NVivo 12 Plus, and analyzed using the six-step thematic analysis framework. Four major themes emerged from the study: psychological distress, traumatic stress symptoms, mental health care access, and coping strategies. Although we did not use any diagnoses, the results indicate that MSM asylum seekers and refugees share mental health problems with other refugees. However, MSM have specific needs that derive from their persecution based on their sexual minority status. The results confirm extant findings, as seen in the discussion, and encourage more research. Further research will inform collaborative, culturally sensitive, and targeted interventions that decrease adverse mental health outcomes for MSM asylum seekers and refugees in the Nairobi metropolitan area.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| 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 | 0.002 |
| 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".