Becoming a Music Learner: Toward a Theory of Transformative Music Engagement
Bibliographic record
Abstract
This article argues for shifts in our thinking about music learners to emphasize the dynamic potential of each individual and the social affiliations that promote music learning, as well as the need for music learning to be conceptualized as positive and purposeful transformative music engagement. It suggests that we might begin with a conscious effort to scrutinize the origins of our expectations of music learners, how music learners make sense of their own experiences, and our understanding of those experiences. The article also discusses the need to expand our awareness of the multifaceted ways that music learning is taking place in today's digital age, and to examine more deeply what it means to prepare and engage music learners in multimodal and participatory forms of music-making. The transition to a new paradigm for music learning will be complete when transformations have occurred in how we view music learners in relation to their own musical worlds; the methods we use to study them so that they take into account particular contexts and cultural ecologies; and the goals we pursue to empower learners as active agents in their own musical development.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".