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Record W4410511707 · doi:10.55606/nusantara.v5i2.4855

Pentingnya Kolaborasi 4 Keterampilan Dasar Bahasa Inggris Mengunakan Drill Method bagi Siswa LKP YHSUA Training Institute Self-Development

2025· article· en· W4410511707 on OpenAlexaff
Manase Halitopo, Napius Kogoya, Laura Sansa Maitimu, Andinus Yanengga, Barton Wenda, Lemurah Wenda, Amelia Kaisepo, Febronius D Naja, Piter Mabel

Bibliographic record

VenueNUSANTARA Jurnal Pengabdian Kepada Masyarakat · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicVocational and Entrepreneurial Education
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsDrillComputer sciencePsychologyEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

LKP YHSUA Training Institute Self-Development is one of the course places for the Papuan people, which is located in the Pikhe, Wamena. This course provides places for Papuan people to develop their potential by offering courses and direct practices in the field. In contrast, one of the problems LKP YHSUA Training Institute Self-Development students face is a lack of understanding and motivation in learning English. As a solution to this problem, a Community Service socialization is designed for the collaboration of four basic English skills. The purpose of this socialization is to improve the students’ four English skills at LKP YHSUA Training Institute Self-Development. The method used in this socialization is the drill method. As a result of using the drill method, students of LKP YHSUA Training Institute Self-Development could develop their basic skills in English such as be able to listen, to speak, to read, and to write, even though they are not so passive in improving their skills, the drill method has encouraged their interest in using the four English 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.

How this classification was reachedexpand

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.877
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.034
GPT teacher head0.361
Teacher spread0.327 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations0
Published2025
Admission routes1
Has abstractyes

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