A Case Study on the Integration of Wuyi Culture and Kindergarten Regional Activity
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".