Meanings of Homosexuality, Same-Sex Sexuality, and Africanness in Two South African Townships: An Evidence-Based Approach for Rethinking Same-Sex Prejudice
Bibliographic record
Abstract
Abstract: The assertion “homosexuality is un-African” is widely viewed as an expression of homophobia. However, without knowledge of what homosexuality and “Africanness” mean in a given context, any understanding of how to shift the prejudices associated with this assertion remains limited. Research conducted in 2010 with police, high school learners (students), and a sample of more than one thousand residents from two urban townships in South Africa contributes to this understanding. This article draws on data from the research to explore the significance of cultural translation when considering what constitutes same-sex prejudice and how it may relate to notions of authenticity or “real Africanness.” While the research provides evidence of same-sex prejudice, there is also evidence of qualified acceptance of same-sex sexuality and of efforts to combat prejudice. Opportunities for change are discussed with reference to the data.
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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 | 0.033 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.009 | 0.008 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| 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".