Playing with Tradition: Personal Authenticity and Discourses of Traditional Music-Making at Ethno World Gatherings
Bibliographic record
Abstract
The Ethno World program is an international network of youth ‘gatherings' focused on traditional and folk musics, wherein participants teach each other repertoire associated with their respective home countries, arrange that repertoire under the guidance of ‘artistic mentors', and then share the results of this collaborative work through one or more public-facing performances. This chapter argues that, at Ethno gatherings, the notion of folk or traditional music extends well beyond that of a style and repertoire associated with a given locale and instead comes to function as a sonic synecdoche for nationally-associated lived experience. Discourses of traditional music and music-making vary widely among members of the Ethno community and some attendees rationalize repertoire selection through a framework of ‘personal authenticity', wherein music that feels authentic to a person is by extension authentic to their nation. As a result, participants' choices regarding traditional music not only shape their presentation of national self-identity but also define traditional music in ways specific to the Ethno context. This chapter also explores how Ethno participants engage in local traditional/folk music and documents the complex relationships of Ethno participants to their nationally-associated traditional/folk music. Analysis draws on 128 interviews (N=128) conducted by members of the Ethno Research team with Ethno World organizers, artistic mentors, and participants over a two-year period from 2019-2021, and is informed by scholarship on revivals, traditional/folk music camps and workshops, and the historicization of concepts of folk and traditional in Western European and North American contexts.
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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 | 0.012 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.021 | 0.046 |
| Scholarly communication | 0.012 | 0.013 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.002 | 0.005 |
| 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".