The Education Development and Transmission of Chinese Haiyang Yangge Folk Performances since 1949 in Shandong Province
Bibliographic record
Abstract
Haiyang Yangge, ancient folk performances hailing from Shandong Province, China, stands as a testament to the resilience of cultural traditions in the face of time and change. This study aims to investigate the education development and transmission of Chinese Haiyang Yangge folk performances since 1949 within the context of education in Shandong Province. The research site is the coastal city of Haiyang, celebrated for its deep-rooted connection to this art form and its proactive approach to cultural preservation and education policy. The investigation engages with six key informants, comprising seasoned scholars, dedicated actors, and long-standing community members. The study reveals three significant leaps in Haiyang Yangge’s education development since 1949, driven by government support, adaptation to contemporary themes, and international recognition. These findings underscore the pivotal role of governmental policies in safeguarding and promoting intangible cultural heritage while also revealing challenges related to shifting generational preferences and urbanization. In conclusion, this research offers valuable insights and suggestions for preserving and revitalizing cultural traditions, emphasizing the importance of continued support for their transmission and relevance in education.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".