Folkways in Wonderland: A Cyberworld Laboratory for Ethnomusicology
Bibliographic record
Abstract
In this paper we describe a musical cyber world -- a collaborative, immersive virtual environment for browsing musical databases -- together with an experimental design launching a new sub discipline: the ethnomusicology of controlled musical cyberspaces. Research in ethnomusicology, the ethnographic study of music in its socio-cultural environment, has typically been conducted through qualitative fieldwork in uncontrolled, real-world settings. Recently, ethnomusicologists have begun to attend to the study of virtual environments, including pre-existing cyber worlds (such as video games). However, in this paper, we adopt an unprecedented approach by designing a custom musical cyber world to serve as a virtual laboratory for the ethnographic study of music. By constructing an immersive cyber world suitable for ethno musicological fieldwork, we aim for much greater control than has heretofore been possible in ethno musicological research, leading to results that may suggest better ways of designing musical cyber worlds for research, discovery, learning, entertainment, and e-commerce, as well as contributing towards our general understanding of the role of music in human interaction and community-formation. Such controlled research can usefully supplement traditional ethnography in the real world.
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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 | 0.000 | 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 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".