Embodying Black Religions in Africa and Its Diasporas
Bibliographic record
Abstract
The contributors to Embodying Black Religions in Africa and Its Diasporas investigate the complex intersections between the body, religious expression, and the construction and transformation of social relationships and political and economic power. Among other topics, the essays examine the dynamics of religious and racial identity among Brazilian Neo-Pentecostals; the significance of cloth coverings in Islamic practice in northern Nigeria; the ethics of socially engaged hip-hop lyrics by Black Muslim artists in Britain; ritual dance performances among Mama Tchamba devotees in Togo; and how Ifá practitioners from Mexico, Colombia, Venezuela, Trinidad, and the United States join together in a shared spiritual ethnicity. From possession and spirit-induced trembling to dance, the contributors outline how embodied religious practices are central to expressing and shaping interiority and spiritual lives, national and ethnic belonging, ways of knowing and techniques of healing, and sexual and gender politics. In this way, the body is a crucial site of religiously motivated social action for people of African descent. Contributors. Rachel Cantave, Youssef Carter, N. Fadeke Castor, Yolanda Covington-Ward, Casey Golomski, Elyan Jeanine Hill, Nathanael J. Homewood, Jeanette S. Jouili, Bertin M. Louis Jr., Camee Maddox-Wingfield, Aaron Montoya, Jacob K. Olupona, Elisha P. Renne
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".