Intergenerational evolution of intangible cultural heritage through tourism development: perspectives of practitioners in Hangzhou China
Bibliographic record
Abstract
As cultural carriers of intangible cultural heritage (ICH), practitioners are key stakeholders in its inheritance and tourism use. Master-apprentice transmission is a major mechanism of generational inheritance. This paper examines ICH masters and apprentices at the Arts & Crafts Museum of Hangzhou, China, and analyzes the cultural composition of handicraft ICH and its intergenerational evolutionary mechanisms. Semi-structured interviews with two generations of practitioners and participant observation were undertaken. Research results reveal that intergenerational evolution involves multifaceted stakeholder interactions centred on practitioners with the support of government, management of the museum and participation of visitors. With patterns of family and master-apprentice inheritance, two generations of practitioners facilitate the evolution of handicraft ICH though both co-creations and conflicts. Second, six cultural attributes for handicraft ICH as of material, pattern, shape, technique, image and system are identified to visualise the process of intergenerational evolution. Third, driven by internal and external factors, ICH evolves through tracks of inheritance, selection and variation as presented through the above six cultural attributes. Moreover, the interdependence of cultural elements highlights the heritage framework of handicraft ICH and reflects the fluidity of authenticity. Accordingly, theoretical contributions and future research directions are offered for the sustainable development of handicraft ICH.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".