Educational Perspectives on the Preservation of the Yang Jiao Zhong Chinese Bronze Instrument
Bibliographic record
Abstract
The Yang Jiao Zhong, an ancient Chinese bronze instrument embodying both musical and ritual significance. The research aims to investigate the educational perspectives on the preservation of the Yang Jiao Zhong, a Chinese bronze instrument. Conducted at the Guangxi Zhuang Nationality Museum in Nanning, Guangxi, China, the study employed a qualitative descriptive method integrating field observation, semi-structured expert interviews, and documentary review. Five key informant experts in folk music, bronze instruments, digital audio technology, sound education, and spatial aesthetics provided insights into the instrument’s historical value, sound preservation, and pedagogical applications. Data were analyzed thematically to interpret educational implications within cultural, technological, and pedagogical dimensions. The results revealed that the Yang Jiao Zhong serves as an interdisciplinary learning tool that connects history, music, and digital technology. Digital sound modelling and virtual exhibitions enhance accessibility, while museum-based workshops foster experiential learning and cultural empathy. The study concludes that integrating digital heritage tools and museum-based learning into curricula transforms ancient artefacts into dynamic educational resources. It recommends collaborative partnerships among museums, universities, and technology centers to promote sustainable preservation and curriculum innovation. This research underscores how education not only safeguards tangible heritage but also revitalizes cultural identity through creative engagement and cross-disciplinary learning.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.003 |
| 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".