Peningkatkan Kemampuan Seni AUD Melalui Teknik Kolase Berbasis Kearifan Lokal Kota Palembang
Bibliographic record
Abstract
Art development is one aspect that needs to be paid attention to from an early age. Because art can be used as a forum for children to express their imagination and self-expression. The aim of this research is to obtain information on the use of collage techniques to improve children's artistic abilities at Kartika II-I Kindergarten. The research uses classroom action with the implementation stages adopting the Kemmis & Tagart model including 1) planning, 2) implementation, 3) observation and 4) reflection. The implementation of this model was carried out in 2 cycles, with 2 meetings in each cycle. The research subjects were 16 children aged 4-5 years at Kartika II-I Kindergarten. Researchers in collecting data used interview and observation techniques. After the data is obtained, it will be analyzed using qualitative and quantitative data analysis techniques. The research results obtained a score in pre-action of 56.5 and after action in cycle 1 of 68.1 and cycle 2 of 78.3. Thus, the researchers concluded that using collage techniques can improve children's artistic abilities.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.033 | 0.004 |
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".