Intergenerational Knowledges: Change and Continuity in Music Transmission and Ethnomusicological Praxis
Bibliographic record
Abstract
Intergenerational knowledges have long preoccupied music researchers and scholars in allied fields, particularly in relation to the persistent theme of musical transmission and studies of age-based cohorts. Intergenerationality also permeates research praxes, especially in participatory disciplines such as ethnomusicology. In research and praxis, complex issues arise when individual musicians and listeners, members of communities, and/or researchers in academic fields value intergenerationality in differing ways. This article considers how attention in music research to gender, kinship, place, and changing institutions has transformed ethnomusicological characterizations of intergenerational music transmission. Rejecting heteronormative assumptions about gender and lineages as well as the notion that musical knowledge is necessarily passed along in a vertical manner, scholars in the field have come to see processes of music transmission as complex and changing. The article draws on the extensive literature on music transmission in Indigenous musical contexts in Australia with some consideration of musical transmission in South Asia and elsewhere. It considers the enduring topic of transmission and musical change and examines the targeting of intergenerational transmission as a tool of coloniality. Written by a non-Indigenous ethnomusicologist who studies Indigenous musical practices in Australia, the article finds that contextual and historical perspectives on intergenerationality have implications for ethnomusicological praxis, with regard to the ethics and techniques of participant-observation fieldwork, applied ethnomusicologies, and approaches to music sustainability, resilience, and vitality.
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.014 |
| Scholarly communication | 0.009 | 0.011 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| 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".