Sociological Aspects of Music Education in Higher Education in Brazil, Canada, Israel, Norway, and the United States During the COVID-19 Pandemic
Bibliographic record
Abstract
The purpose of this study was to examine the sociological aspects of music education and perspectives of university music education professors in five continents in relation to remote learning during the COVID-19 pandemic. The concepts of community of practice and agency were used to investigate the social interaction, socialization, and collective impact of people and experiences observed in university-level music education in different parts of the world. As the global pandemic completely changed the conditions on university campuses and music education programs, each participant provided 1) an overview of the parameters of virtual and in-person instruction implemented by select institutions, 2) sociological aspects of music education in select institutions, and 3) the social, emotional, and mental health of students, faculty, and staff amidst the pandemic. As the conditions of the global pandemic had consequential impacts on music education programs at institutions of higher education in Brazil, Canada, Israel, Norway, and the United States, each university implemented varied models of instruction to address remote learning. Changes in conditions, circumstances, and sociological aspects of music education had an impact on the socialization, physical presence and interaction among, and social, emotional, and mental health of students, faculty, and staff. As social, emotional, and mental health were a concern, universities need to broaden the services available to students, faculty, and staff that will cultivate supportive environments of instruction, socialization, and communities of practice within music education departments and across the university.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.007 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".