African and Not Religious: The State of Research on Sub-Saharan Religious Nones and New Scholarly Horizons
Bibliographic record
Abstract
Sub-Saharan African societies are widely seen as highly religious. However, at least 30 million Sub-Saharan Africans identify themselves as “religious nones” and are supposedly not affiliated with any religious tradition. While research interest in religious nones has been growing in the United States, Canada, and Western Europe, there is a dearth of literature on nones in Sub-Saharan Africa. In this paper, we offer an overview of this understudied subject and dwell on key challenges for studying African nones, including preconceived notions and structural oppositions. We further muse on the identity of African nones and consider differences from the characteristics established concerning Western nones. The article draws on quantitative data from across the region (primarily from Afrobarometer and Pew Research Center) and supplements them with interview data collected in Chad, Kenya, and South Africa.
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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 | 0.026 | 0.045 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.011 | 0.019 |
| Science and technology studies | 0.007 | 0.026 |
| Scholarly communication | 0.019 | 0.023 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| 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".