Vocal Imitation and Linguistic Processing of Super Mario Theme Music by Yoruba Gamers
Bibliographic record
Abstract
Gaming culture among Yoruba millennials involves vocal imitating the music of the video gam, Super Mario Bros. The themes of the linguistic interpretations are comparable to those of music texts at traditional Yoruba competitions. Drawing on the Yoruba music tradition, the account in this work is that, to the gamers, the background music of the video game performs a similar function as the music at traditional Yoruba competitions. The choice of words in the linguistic interpretation is conditioned by the situational contexts or scenes where the music is heard in the video game. The results of an acoustic analysis show that the choice of words in the linguistic interpretations is also determined by mapping the pitch trajectories of the music melodies to the tones of the gamers' native language. This study suggests that the linguistic processing of music may not only involve phonetic iconicity but contextual inference and social expectation.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".