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PERKEMBANGAN KEMAMPUAN BAHASA ANAK USIA 4-5 TAHUN MELALUI BERCERITA SEDERHANA DITINJAU DARI SEGI ASPEK SINTAKSIS DAN SEMANTIK

2021· article· en· W4391040652 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

VenueGenerasi Emas · 2021
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPsychologyStorytellingConversationDevelopmental psychologyLinguisticsCommunicationNarrative

Abstract

fetched live from OpenAlex

The development of language skills in children aged 4-5 years often experience obstacles in conversation, delivery or expression and talking to other people. The problem that occurs in children aged 4-5 years in the A6 group RA Muslimat NU Masyithoh 05 Banyurip Ageng Pekalongan City is that the development of children's language skills in terms of syntactic and semantic aspects of children is still not well developed. The purpose of simple storytelling activities is to determine the development of children's language skills, especially in the syntactic and semantic aspects. The research method uses a qualitative descriptive method. The research site is at RA Muslimat NU Masyithoh 05 Banyurip Ageng, Pekalongan City. The research period is from May 29 to June 11, 2021. The research subjects were 2 students in group A6 with an age range of 4-5 years with data sources from 15 students. Data collection techniques using observation, interviews, and documentation. The results of a study conducted for approximately 2 weeks with a sample of 2 children showed that through simple storytelling, children aged 4-5 years old could develop language skills.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.742
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.024
GPT teacher head0.279
Teacher spread0.255 · 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