African and western aspects of Ballanta's opera "Afiwa"
Bibliographic record
Abstract
Nicholas George Julius Ballanta (1893-1962) was a Sierra Leonean composer, ethnomusicologist and scholar. Trained in Western art and church music both in his home country and in the United States, he also conducted many years’ research into tribal music in Africa, and indeed was a pioneer in the study of West African music. His most complete opera is “Afiwa,” which sets the story of a girl who stands up to her father, the king of the Anlo Ewe tribe in Ghana, for atrocities he had committed at her birth. This study identifies what is uniquely African yet also Western about Ballanta’s “Afiwa”. In chapter 1, an introduction to the work is presented, including Ballanta’s biography. In Chapter 2, I determine what Ballanta believed to be characteristic of the African music he studied by examining his writings about rhythm, melody, form, texture and harmony. In Chapter 3, I cite numerous passages from “Afiwa” where these characteristics are found. My conclusion is that Ballanta combined both African and Western musical aspects in this opera. Chapter 4 goes beyond the music to explain, referencing the 2010 Cottey College production, aspects of the libretto, plot and staging that will help any future producers to understand the opera better so as to provide as authentic a production as possible.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".