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Record W4401560853 · doi:10.46576/wdw.v18i3.4770

Pemerolehan Bahasa Pada Anak Tingkat Dasar (Kajian Psikolinguistik)

2024· article· ms· W4401560853 on OpenAlexaff
Zira Fatmaira, Tioria Pasaribu, Rozak Habibi

Bibliographic record

VenueWarta Dharmawangsa · 2024
Typearticle
Languagems
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

In life in this world there is a saying "There is no day without language and there is no life without language."Language is the main means of communication in human life in this world, whether in written, spoken, or only in the form of certain symbols.This study uses a method to formulate ideas and thoughts based on a scientific approach.The process of this research begins with the collection, processing until drawing conclusions are carried out in several stages.Found the results of research on the home environment.In their daily lives, children spend half the day doing activities at home and the other half of the day doing activities in the environment, be it the play area or the school environment.As long as the child is active at home, the child is in the home environment and it is the parents' main duty to play an active role in every activity the child does.Mentions that the interaction of parents with children and the learning context created at home can improve children's language acquisition 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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0160.005

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 head0.038
GPT teacher head0.354
Teacher spread0.316 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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