"He can send her to her parents": The interaction between marriageability, gender and serious mental illness in rural Ethiopia
Bibliographic record
Abstract
Abstract Background For women in most low- and middle-income countries, the diagnosis with serious mental illness (SMI) leads to stigma and challenges related to starting or maintaining marriages. The purpose of this qualitative study was to explore perspectives on marriage, divorce and family roles of women with SMI in rural Ethiopia. Methods A qualitative study was conducted in a rural setting of Butajira, South Central Ethiopia. A total of 39 in-depth interviews were carried out with service users ( n = 11), caregivers ( n = 12), religious leaders ( n = 6), health extension workers ( n = 4), police officers ( n = 2), teachers ( n = 2) and government officials (n = 2). Data were analyzed using a thematic approach. Results Three themes emerged. (1) Marriage and SMI: Chances of getting married for individuals with SMI in general was perceived to be lower: Individuals with SMI experienced various challenges including difficulty finding romantic partner, starting family and getting into a long-term relationship due to perceived dangerousness and the widespread stigma of mental illness. (2) Gendered experiences of marriageability: Compared to men, women with SMI experienced disproportionate levels of stigma which often continued after recovery. SMI affects marriageability for men with SMI, but mens' chances of finding a marital partner increases following treatment. For women in particular, impaired functioning negatively affects marriageability as ability to cook, care and clean was taken as the measure of suitability. (3) Acceptability of divorce and separation from a partner with SMI: Divorce or separation from a partner with SMI was considered mostly acceptable for men while women were mostly expected to stay married and care for a partner with SMI. For men, the transition from provider to dependent was often acceptable. However, women who fail to execute their domestic roles successfully were considered inept and would be sent back to their family of origin. Conclusion Women with SMI or those married to partners with SMI are at greater disadvantage. Reducing vulnerabilities through stigma reduction efforts such as community outreach and mental health awareness raising programs might contribute for better social outcomes for women with SMI.
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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 | 0.003 | 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 | 0.007 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| 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".