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Record W7106040031 · doi:10.7939/83294

The Need for Expanded Wind Band Conducting Programs in China: A Comparative Study of Post-Secondary Wind Band Music Education in Canada and China

2025· dissertation· en· W7106040031 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Alberta Library · 2025
Typedissertation
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsnot available
Fundersnot available
KeywordsChinaEconomic shortageWind powerSection (typography)Music educationSociocultural evolution

Abstract

fetched live from OpenAlex

Wind bands have taken on an increasingly significant role in music education worldwide, helping to cultivate musicianship, encouraging collaboration, and fostering community engagement. In China, wind bands are often categorized under the broader label of “Western Music” (西洋乐) and have expanded rapidly in elementary, secondary, and post-secondary institutions. However, the development of wind band conducting education has not kept pace. While the current interest in wind band education is growing, China lacks formal and systematic post-secondary degree programs to train specialized wind band conductors, resulting in a shortage of qualified wind band leaders. In contrast, countries like Canada have well-established systems for training wind band conductors, where such programs are embedded within formal education at the university level. This contrast provides a meaningful lens through which to examine both structural and pedagogical differences, and to consider how China might move forward. This study is organized into four sections. The introductory section outlines the scope, purpose, and significance of this study. The second section focuses on the historical and sociocultural development of wind bands in both countries. The third section presents a comparative analysis of institutional structures and pedagogical practices. Canadian universities, such as the University of Alberta and the University of British Columbia, offer undergraduate and graduate programs where wind band conducting education is integrated into both performance and education degrees. In China, by contrast, conservatories and normal universities tend to prioritize orchestral, choral, or general conducting training, rather than offering a dedicated wind band conducting stream. To date, only the Sichuan Conservatory of Music offers a formal program in the field of wind band education, while most wind band activity at regular universities remain extracurricular. The fourth part of the study considers how the absence of structured wind band conducting education in China has influenced ensemble performance, student interest and recruitment, the diversity of repertoire performed, and broader artistic development. This paper concludes with five key recommendations: establishing dedicated wind band conducting programs within post-secondary institutions; requiring music education students to study core techniques in woodwind, brass, and percussion instruments; expanding wind band conducting coursework in both performance and education degrees; offering accessible masterclasses and certificate programs for working educators; and fostering international collaboration, especially with Canadian institutions, to develop shared learning opportunities, joint residencies, and cultural exchange. This study provides recommendations aiming to help strengthen the development of wind band conducting education in China. The focus goes beyond adjusting the music education curriculum, as it highlights the broader goal of nurturing a wind band culture that is sustainable, artistically vibrant, and internationally connected. By looking to Canada’s example and thoughtfully shaping those practices to fit China’s unique educational and cultural setting, educational institutions can be better positioned to train future wind band conductors and music educators for lasting impact.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.263

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.008
Science and technology studies0.0100.003
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.035
GPT teacher head0.220
Teacher spread0.184 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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