Exploring a virtual music community of practice: Informal music learning on the Internet
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Over the past ten years, online communities of practice have evolved in cyberspace formed around different folk music genres, including Bluegrass, Irish Traditional, and Old Time (OT) music. Using Wenger's (1998) social learning theory as a framework, and informed by Hine's research in cyber ethnography (2000), the purpose of this article is to explore the informal music teaching and learning practices that characterize the OT music online community as a community of practice (CoP). What defines the OT online community as a CoP? What technologies including software programs do learners use and how do learners modify these to fit their needs? What practices characterize learning in this online community? Information gleaned from this article will serve a twofold purpose. First, the exploration of music learning in this online CoP will have implications for lifelong music learning and formal school music education. Second, this study will demonstrate the appropriateness of employing cyber ethnography as a method for conducting online narrative research in music education.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it