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Record W4377099020 · doi:10.56028/aehssr.5.1.385.2023

The Application of Traditional Chinese Culture in the Cultural and Creative Industry: A Case Study of "The New Forbidden City."

2023· article· en· W4377099020 on OpenAlexaff
Hai-ting Wang

Bibliographic record

VenueAdvances in Education Humanities and Social Science Research · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Culture and Media Studies
Canadian institutionsEarl Haig Secondary School
Fundersnot available
KeywordsChinaCultural industryCreative industriesCulture industryCultural heritageElement (criminal law)Industry of ChinaChinese cultureBusinessAdvertisingPolitical scienceEconomySociologySocial scienceEconomicsLaw

Abstract

fetched live from OpenAlex

The cultural and creative industry has become a critical driving force for China's economic growth, with traditional Chinese culture serving as an essential element in this emerging industry. This paper focuses on the popular television show "New Forbidden City" and examines the application of traditional Chinese culture in the cultural and creative industry. By analyzing the characteristics of the show, its messages, and its impact on the industry, this paper concludes that the application of traditional Chinese culture in the cultural and creative industry is significant for both preserving cultural heritage and promoting economic development.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0030.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.174
GPT teacher head0.504
Teacher spread0.329 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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