Leveraging Modern Technology for the Inheritance and Dissemination of Intangible Cultural Heritage: A Case Study of Shaanxi, China
Bibliographic record
Abstract
With the rapid development of modern technology, the inheritance and dissemination of intangible cultural heritage (ICH) faces both opportunities and challenges. Taking the intangible cultural heritage of Shaanxi as an example, this study explores the dilemmas and strategies of ICH preservation and promotion in the digital era. By analyzing the current problems of survival, public awareness, and insufficient publicity in ICH transmission, this paper proposes several innovative strategies that utilize modern technology. These strategies include establishing thematic museums, integrating ICH into film and television productions, utilizing media platforms and live streaming, developing intelligent software applications, and creating digital websites. These approaches aim to enhance public engagement, expand the reach of ICH, and ensure its sustainability. The findings suggest that modern technology, if effectively utilized, will significantly contribute to the preservation and dissemination of ICH, thereby enhancing cultural identity and national soft power.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".