Same Form, Slightly Different Function: Senegalese Cumulative Songs as Contrasted to their Canadian and European Counterparts
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
[I gratefully acknowledge the help of Ibrahima Bassen who first told me the tale discussed here, and Hypolite Tendeng who translated it from Jola Bandial into French for me. Both of these men, from the village of Seleki in Senegal, gave up many hours of their time to work with me on this project.] Whilst working among the Jola Bandial people of southern Senegal, I had asked if they had any songs that talked about, or included the names of musical instruments. Ibrahima said that he would think about it and that I should come back a few days later. So I did go back, and Ibrahima started to tell me a story. I had asked for a song, but he started to tell me a story. As an “optimistic ethnomusicologist ” I try to go with the flow! As the story began to unfold, a song was sung. Then the story resumed. Then there was another song. Then the story started up again. Then there was another song. Then the story continued followed by yet another song. Wait a minute! That’s the same song, just a little bit longer! Could it be? Might I have found a cumulative song in the middle of a story, out here in the middle of sub-Saharan Senegal? The Story – in brief A man had three sons and decided to divide his wealth (2 cows) between them and send them on
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it