Multi-level Manifestations of Sexual Stigma among Men with Same-Gender Sexual Experience in Ghana
Bibliographic record
Abstract
Abstract Sexual stigma and discrimination toward men who have same-gender sexual experiences are present across the globe. In Ghana, same-gender sexual desires and relationships are stigmatized, and the stigma is sanctioned through both social and legal processes. Such stigma negatively influences health and other material and social aspects of daily life for men who have sex with men (MSM). However, there is evidence that stigma at the interpersonal level can intersect with stigma that may be operating simultaneously at other levels. Few studies provide a comprehensive qualitative assessment of the multi-level sexual stigma derived from the direct narratives of men with same-gender sexual experience. To help fill this gap on sexual stigma, we qualitatively investigated (1) what was the range of sexual stigma manifestations, and (2) how sexual stigma manifestations were distributed across socioecological levels in a sample of Ghanaian MSM. From March to September 2020, we conducted eight focus group discussions (FGDs) with MSM about their experiences with stigma from Accra and Kumasi, Ghana. Data from the FGDs were subjected to qualitative content analysis. We identified a range of eight manifestations of sexual stigma: (1) gossiping and outing; (2) verbal abuse and intrusive questioning; (3) non-verbal judgmental gestures; (4) societal, cultural, and religious blaming and shaming; (5) physical abuse; (6) poor-quality services; (7) living in constant fear and stigma avoidance; and (8) internal ambivalence and guilt about sexual behavior. Sexual stigma manifestations were unevenly distributed across socioecological levels. Our findings are consistent with those of existing literature documenting that, across Africa, and particularly in Ghana, national laws and religious institutions continue to drive stigma against MSM. Fundamental anti-homosexual sentiments along with beliefs associating homosexuality with foreign cultures and immorality drive the stigmatization of MSM. Stigma experienced at all socioecological levels has been shown to impact both the mental and sexual health of MSM. Deeper analysis is needed to understand more of the lived stigma experiences of MSM to develop appropriate stigma-reduction interventions. Additionally, more community-level stigma research and interventions are needed that focus on the role of family and peers in stigma toward MSM in Ghana.
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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 | 0.002 | 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 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 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".