New Materiality and Young People’s Connectedness Across Online and Offline Life Spaces
Bibliographic record
Abstract
This chapter examines new materiality perspectives to explore the influence of social media on young people’s music learning lives—their sense of identity, community and connection as they engage in and through music across online and offline life spaces. The aim is to provide an interface between activity, materiality, networks, human agency, and the construction of identities within the social media contexts that render young people’s music learning experiences meaningful. The chapter also emphasizes what nomadic pedagogy looks like at a time of transcultural cosmopolitanism and the positioning of youth-as-musical-resources who “make up” new musical opportunities collaboratively with people/materials/time/space. This involves moving beyond the notion of music learning as an educational outcome to embrace, instead, a nomadic pedagogical framework that values and supports the process of young people deciphering and making meaningful connections with the world around them. It is hoped that implications stemming from this discussion will provide insights for researchers, educators, and policymakers with interests in innovative pedagogical approaches and the creation of new learning and digital cultures in music education.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.013 | 0.010 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 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".