Bibliographic record
Abstract
This article revisits a familiar trope in African music studies: “hot rhythm.” By tracing the lineage of the “hot” concept through twentieth and twenty-first century Africanist scholarship, I demonstrate the prevalence of foreign-made metaphors in contemporary African music studies and suggest scholars rethink whose metaphor and whose hotness they employ. What is the relationship of the metaphorically hot to phenomenal sensations of hotness? And what is the relationship of the “hot” concept to lived experiences of heat? I explore the relevance of heat as a material condition and hotness as a condition of being to music making in Africa with reference to ethnographic research with amateur brass band musicians in the Republic of Benin. This essay’s primary contribution is to apply an ecomusicological critique to an enduring climatic metaphor in African music discourse. My appeal to rethink the long-accepted analytical metaphor of “hot rhythm” further strives to destabilise entrenched theories of African music formulated by foreign scholars and instead focus attention on African concepts and experiences.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.021 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".