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Record W4394820725 · doi:10.6007/ijarped/v13-i2/21145

A Case Study on the Integration of Wuyi Culture and Kindergarten Regional Activity

2024· article· en· W4394820725 on OpenAlexaff
Gao Jie, Mei Tingxian, Loy Chee Luen

Bibliographic record

VenueInternational Journal of Academic Research in Progressive Education and Development · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCultural and Artistic Studies
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsChinaIdentity (music)Cultural heritageOrganizational cultureSociologyKorean cultureNatural (archaeology)PsychologyPedagogyPublic relationsPolitical scienceGeographyAestheticsLawAnthropology

Abstract

fetched live from OpenAlex

Wuyi Mountain in China is a world cultural and natural heritage site, which has nurtured Wuyi culture, including world heritage culture, Zhuzi culture, Minyue culture, tea culture and red culture. Kindergarten regional activities are a kind of autonomous exploration activities for preschool children. The integration of Wuyi culture and regional activities is an important way to enhance children's sense of identity with Wuyi culture. This study took Wuyi Kindergarten A as an example, and used interview method, observation method and case analysis method to investigate the current situation of the integration of Wuyi culture and kindergarten regional activities. Through the investigation, the researchers found that the teachers' cognition level of Wuyi culture is uneven, the selected cultural types and application areas are relatively single, the materials in regional activities are unreasonable, the organization and implementation of regional activities are improper, and the integration of educational resources from all parties is insufficient. Then, the reasons for the current situation were analyzed, and the solution strategies such as teachers should clarify their own roles, teachers should improve their professional abilities, the kindergarten should carry out teacher training activities, and the forces of all parties should be coordinated and integrated were proposed.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.598
Threshold uncertainty score0.213

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.301
GPT teacher head0.542
Teacher spread0.241 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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