The Construction of “One-Center and Three-Level” Kindergarten Environment Creation Curriculum Group
Bibliographic record
Abstract
The construction of a “one-center and three-level” kindergarten environment creation curriculum group is theoretically built on Dewey’s idea of ‘learning by doing’ and the concept of the whole practice, and it is intended for solving problems such isolation between courses in a curriculum, the disjunction between art courses and the actual situation of kindergartens, lack of inquisitiveness among students and their poor ability to learn through collaboration. The researcher follows the curriculum construction philosophy of “focusing on exploration, strengthening practice and developing progressively”, takes the “kindergarten environment creation” course as the core, sets up a “one-system, one-group, one-whole” curriculum management mechanism, and implements intramural-extramural and online-offline dual teaching model. Through course integration, the researcher perfects the cognitive structure of students, develops comprehensive environment creation capability of students; builds a community of practical teaching, reinforces the connection between courses and actual work of kindergartens, develops the ability of students to achieve mastery through a comprehensive study; conducts online-offline mixed teaching, advance deep learning of students, and enhances the ability of teachers to conduct information-based teaching.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".