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Record W3102472545 · doi:10.24176/re.v9i2.3197

PENGEMBANGAN MODEL PEMBELAJARAN ETNOLINGUISTIK BERBASIS NILAI-NILAI ISLAM NUSANTARA UNTUK MAHASISWA PGSD

2019· article· en· W3102472545 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

VenueRefleksi Edukatika Jurnal Ilmiah Kependidikan · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicArabic Language Education Studies
Canadian institutionsLearning Partnership
Fundersnot available
KeywordsIslamMathematics educationPedagogyPsychologyTheologyPhilosophy

Abstract

fetched live from OpenAlex

The purpose of this study was (1) to apply the ethnolingistic learning model based on Islamic values of the nusantara to students of Elementary School Teacher Education (PGSD). This research is development research. The stages in this study took seven steps from the ten R D steps offered by Gall and Borg. The data to be collected in this study is data that shows the teaching material and design of ethnolinguistic learning based on Islamic Nusantara values for PGSD students. The product trial subjects were lecturers and PGSD students at Muria Kudus University. The results of this study are ethnolinguistic learning models based on Islamic values of the nusantara and teaching materials. Based on the results of the discussion it can be concluded that the ethnolinguistic learning model based on Islamic values of the nusantara and ethnolinguistic teaching materials based on Islamic values of the nusantara are appropriate and meet the requirements to be used as learning models and teaching materials.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, 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 score0.608
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.023
GPT teacher head0.342
Teacher spread0.319 · 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