PENGEMBANGAN MODEL PEMBELAJARAN ETNOLINGUISTIK BERBASIS NILAI-NILAI ISLAM NUSANTARA UNTUK MAHASISWA PGSD
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".