Bibliographic record
Abstract
Music is an integral part of culture and human societies, which anthropologists study.What makes music so potent is its ability to contain values, reflect perspectives, and fill niches of societal needs.In this paper, I will discuss how ethnomusicology aids scholars in a deeper understanding of contexts, perspectives, and values in music and the experiences of the people who created it.I will analyze the relationships between music and technique, ritual, and religion in seven case studies.Drawing from examples from "right" singing in Estonia, the choral works of Stravinsky, Ambonwari rituals, ritual wailing in Amerindian Brazil, the maqam, syncretism in Southeast Asia, and Tamil Christian religious music, I will show how ethnomusicology uncovers understanding of the cosmology, values, and socio-cultural interactions of a people and their culture.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.009 | 0.006 |
| Science and technology studies | 0.008 | 0.045 |
| Scholarly communication | 0.013 | 0.014 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".