World Music Pedagogy: Gateway to Global Citizenship and Children’s Creative Impulses
Bibliographic record
Abstract
In this article, we seek to examine ways in which educators can bring music of world cultures into classrooms of children in a respectful, sensitive manner. Myriad issues of diversity, equity, and inclusion are at the center of the conversation among music educators across the globe. As educators are committed to issues of globaliation, social justice, and cultural democracy, we intend here to discuss World Music Pedagogy (WMP) as a means of fostering children’s musical and cultural awareness in embracing both local and global communities. These involve careful considerations, as WMP is a multi-dimensional learning process that recognises the importance of deep and reflective listening as gateway to knowing the music in order to participate in it, to perform it, to create new works within the style of the studied music, and to know its cultural meaning, context, and function. Lastly, we present three “classroom portraits” through activities with examples from Brazilian, Ugandan, and Canadian Arctic Indigenous cultures that can open pathways that lead learners to a comprehensive experience with music in and as culture.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.017 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".