“Homosexuality/Homophobia Is Un-African”?: Un-Mapping Transnational Discourses in the Context of Uganda’s Anti-Homosexuality Bill/Act
Bibliographic record
Abstract
This article un-maps the recent impasse between pro- and antigay mobilization around Uganda's Anti-Homosexuality Act (AHA, 2009-2014). Drawing on scholarly and social media sources, it summarizes the increasing influence of (U.S.) transnational evangelism that has precipitated a state-religious complex of "anticipatory political homophobia" in Uganda. If transnational evangelism against same-sex sexuality in Uganda has generated a strong reaction from global LGBT human-rights advocates, this article critiques this Western homotransnationalist response by analyzing its limited terms of operation, focusing on the ways in which Uganda is hailed into the biopolitical project of a Western queer modernity. The author focuses on the copresence between homotransnationalist mobilization and "homophobic anticipatory countermobilization" as (re)organizing/suturing a global ordering project that is deeply invested in biopolitics and necropolitics. This suggests that the global flashpointing of Uganda in the context of the AHA incites further questions concerning the transnationality of "gay human rights" discourse under neoliberalism.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.009 | 0.018 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".