Adaptation of the Extra-Ordinary Music Camp during a pandemic: resilience as vector of innovation
Bibliographic record
Abstract
The Extra-Ordinary Music Camp is a research project whose objectives are: (1) to offer an inclusive environment for musical creation adapted for extra-ordinary youths, and (2) to study how participatory, informal, inclusive, and adaptive musical creation activities impact extra-ordinary youths’ communication and social interaction abilities. The present article addresses adaptations made to the project following the arrival of the COVID-19 pandemic, which disrupted the originally planned activities. Using viewpoints from four undergraduate and graduate student facilitators who served as session leaders and researchers on the project, the Extra-Ordinary Music Camp’s evolution from an in-person to a remote research project will be described. First, the initial study design is introduced. Then, we detail the ways the project was adapted online as a consequence of the COVID-19 pandemic: we present the adaptations made to musical training (pedagogical plan), research tools, and modalities of collaboration between team members. Finally, certain preliminary results are presented and contextualized in light of these significant adaptations to the organizational, scientific, and pedagogical plans.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.011 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.015 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".