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Record W4395090437 · doi:10.5430/wje.v14n1p96

The Contemporary Transmission Methods and Education of Chinese Jinghe Opera to Address Current Challenges in Hubei Province

2024· article· en· W4395090437 on OpenAlexvenueno aff
Xiaocao Fu, Sarawut Choatchamrat

Bibliographic record

VenueWorld Journal of Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Culture and Media Studies
Canadian institutionsnot available
FundersMahasarakham University
KeywordsPsychologyTransmission (telecommunications)Current (fluid)Mathematics educationTelecommunicationsComputer science

Abstract

fetched live from OpenAlex

The objective of this qualitative research study is to analyze the contemporary transmission methods and educational approaches employed in preserving and revitalizing Chinese Jinghe opera to address current challenges in Hubei Province. The research site, Jingzhou City in Hubei Province, serves as the backdrop for exploring this multifaceted cultural heritage. Nine key informants, including scholars, practitioners, and community members, provide diverse perspectives on Jinghe Opera and its transmission. Semi-structured interviews serve as the basis for data collection, and thematic analysis follows to reveal recurring themes and patterns. The study reveals the historical significance of Jinghe Opera, its evolution, and the critical roles of supporting institutions, such as the Intangible Cultural Heritage Protection Center and Yangtze University. Challenges facing Jinghe Opera, such as a shortage of original works and an aging transmission workforce, are discussed. Proposed solutions include fostering creativity, modernizing education, and establishing institutional support. This research contributes to the broader discourse on cultural heritage preservation and demonstrates the resilience of traditional art forms in a changing cultural landscape.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.932
Threshold uncertainty score0.311

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.063
GPT teacher head0.454
Teacher spread0.391 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations3
Published2024
Admission routes1
Has abstractyes

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