Adapting to Change: A Community Band’s Journey in Using Technology to Continue Music-Making During the Pandemic
Bibliographic record
Abstract
Abstract This chapter focuses on the adaptations undergone by the Montreal New Horizons Band (MNHB), a community wind ensemble, to continue to provide musical activities for its members during the pandemic. Participants’ quality of life profile (QoLP:SV), and their attitudes to technology (ATT) were collected prior to and after completion of a semester of online music rehearsals. Additionally, researchers explored participants’ musical backgrounds, thoughts on everyday technology use, and their perceptions of online versus in-person band rehearsals. This chapter explores: (1) what were the perceived challenges or benefits of shifting to an online environment; (2) what were the factors that were perceived to support or constrain online music learning and participation; and (3) how did participation in online group music-making affect participants’ attitudes towards technologies and technology use. We conclude with some reflections regarding MNHB’s transition from in-person to online musical activities and considerations for the future.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| 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".