A Study on the Application of Charts in Orff Music Activities in Kindergartens
Bibliographic record
Abstract
In recent years, Orff music education activities have taken an increasingly important place in kindergarten education and teaching. Nowadays, one of the three most influential and famous music systems in the world is the Orff music education system. In the implementation of Orff music activities, the use of "charts" is essential for young children. However, nowadays, when kindergartens carry out Orff teaching, the focus is more on games or manipulation of musical instruments, and the use of charts to play or perform is less practiced. Therefore, the study of Orff charts should first start from the Orff pedagogy, and analyse the application of Orff charts in the music classroom, which is conducive to teachers to better carry out music activities, the classroom should be the main body of the students, so the study of Orff charts should be combined with the development of the students' thinking, and should be linked to practice. In the Orff music pedagogy, the diagrams are presented more intuitively, make the important and difficult points more simple, and make the children more autonomous in the Orff music activities, and the use of diagrams can guide the children to perceive the mood and emotion of the music.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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".