Music Confucius Institute: Evaluating Its Approach as an Agent for International Chinese Music Dissemination
Bibliographic record
Abstract
The paper identifies the educational and presentational functions of the Confucius Institute (MCI) at the Royal Danish Academy of Music (RDAM) as its core approaches which mostly influence Chinese cultural dissemination in its host country. The MCI’s utilization of the two dissemination approaches aligns with the “receiver-centered” framework introduced by Jiang and Zhang (2009), providing three concurrent strategies—Localization, “Entertainalization” and Regulation (LER)—in order to enhance the dissemination of Chinese culture to the general public. Through detailed analysis of somewhat limited pre-existing research findings and literature, this article makes the claim that the MCI has achieved positive results in its two functional domains, meeting its overseas audience’s needs at various levels whilst supporting Chinese cultural dissemination internationally. This article concludes on the prospect that more MCIs are expected to be established around the world in order to satisfy the growing needs of authentic studies in Chinese musical traditions without travelling to China, as well as to support Chinese cultural communication with the rest of the world.
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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 | 0.046 | 0.064 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".