Political homophobia and the effect on GBMSM programmes in Kenya: The significance of a community-led rapid agency assessment
Bibliographic record
Abstract
A recent Supreme Court ruling that permitted LGBTQ + rights organisations to officially register as non-governmental organisations has led to rises in political homophobia in Kenya. Community leaders initiated and led a rapid agency assessment to examine the effects of this rising political homophobia on sexual health services access for gay, bisexual and other men who have sex with men (GBMSM). This survey assessment engaged directors and programme managers running 20 community-based organisations (CBOs) representing 19 Kenyan counties, serving the sexual health needs of more than >25,000 GBMSM. In addition to prevalent shutdowns of health services, respondents reported growing religious tensions, fears and threats of attack, withdrawal of local county government support, and rising religious tensions. At a moment when highly oppressive anti-LGBTQ + legislation has been drafted and debated in parliament, in the name of 'family protection', this commentary makes an appeal to allied health officials and global funding partners to make more explicit statements that call attention to the negative consequences of political homophobia on the grounds of public health and human rights.
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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 | 0.017 | 0.046 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".