Efforts to Improve Children's Fine Motor Skills through Sewing Activities at Raudhatul Athfal 'Aisyiyah Gontor
Bibliographic record
Abstract
Children, especially early childhood, are the most optimal period for development. For children, motor development greatly influences other aspects of development. Therefore, researchers took steps to improve children's fine motor skills through sewing activities. The purpose of this improvement is to improve children's fine motor skills through sewing activities in group B at RA 'Aisyiyah Gontor Mlarak Ponorogo in the 2022/2023 academic year. This research was conducted at Raudhatul Athfal 'Aisyiyah Gontor in the 2022/2023 academic year with 20 students. The implementation of this research used 2 cycles. Each cycle 5 RPPH (5 meetings). In cycle II, the aspects assessed experienced an increase. Through sewing activities, the results obtained increased in children's sewing abilities, namely in cycle I, children who had one star were 20%, children who had two stars 65%, children who had three stars 15%, children who had four stars 0%. In cycle II, children who have one star are 0%, children who have two stars are 15%, children who have three stars are 70%, children who have four stars are 15%. Thus, this research experienced an increase in cycle II.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".