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Peningkatkan Kemampuan Seni AUD Melalui Teknik Kolase Berbasis Kearifan Lokal Kota Palembang

2024· article· en· W4401115707 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePAUD Lectura Jurnal Pendidikan Anak Usia Dini · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Education
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsAction researchAction (physics)Mathematics educationQualitative propertyPsychologyReflection (computer programming)Research methodPedagogyComputer sciencePhysics

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.624
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.019
GPT teacher head0.330
Teacher spread0.311 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it