Research on the Communication Opportunities of Intangible Cultural Heritage under the Background of Big Data and AI
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The study on the dissemination opportunities of Intangible Cultural Heritage (ICH) in the context of big data and artificial intelligence (AI) explores how to combine big data and AI technology to promote the inheritance and dissemination of ICH. Big data technology provides an effective way for ICH digital protection, helping to solve material loss and timeliness issues. AI technology provides a new opportunity for the digital restoration and display of ICH, which can reproduce the lost skills and cultural practices. In addition, big data and AI can also achieve personalized customization of ICH communication and improve audience participation and understanding. Most importantly, combining ICH with innovative industries will bring business opportunities for sustainable development. This paper combs the definition and importance of ICH, emphasizes the role of big data and AI in cultural communication, and emphatically analyzes the opportunities of ICH communication under the background of big data and AI, with a view to forming a new situation of ICH protection and cultural inheritance.
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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 | 0.005 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it