The Preservation and Transmission of Gannan Tea Picking Opera Knowledge After the Cultural Revolution in 1949
Bibliographic record
Abstract
The study focuses on the preservation and transmission of Gannan Tea Picking Opera knowledge after the Cultural Revolution in 1949 using qualitative research methods such as interviews and observations with seven key informants. The following findings were obtained, which can be divided into three distinct periods: The tortuous development phase from 1949 to 1966 marked significant growth and development, with the establishment of specialized schools and the implementation of the “three reforms” contributing to knowledge transmission and preservation. The survival dilemma period from 1966 to 1976 during the Cultural Revolution imposed constraints on artistic expression, but the return of artists from rural areas and their role in recruiting apprentices supported the continuity of Gannan Tea Picking Opera. Finally, the Ganzhou Gannan Tea Picking Opera Troupe and educational institutions contributed to the revival of this traditional art form during the period of rebirth from 1976 to 2023. Retired artists continue to play a vital role in knowledge preservation and dissemination, reflecting the enduring resilience of Gannan Tea Picking Opera.
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 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 | 0.002 |
| Science and technology studies | 0.006 | 0.010 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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".