Pembelajaran Sejarah Berbasis Nilai-Nilai Astha Brata Sebagai Penguatan Sikap Kepemimpinan SISWA SMA
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.
Bibliographic record
Abstract
<p><em>Astha Brata merupakan delapan sifat atau watak (ambeg) delapan dewa yaitu Wisnu (Bumi), Bayu (Angin), Baruna (Samudera), Candra (Bulan), Surya (Matahari), Indra (Langit), Agni (Api) dan Ismaya (Bintang). Dimana terdapat nilai-nilai yang bersifat Adiluhung yang perlu ditanamkan kepada siswa selaku generasi penerus yang akan menjadi pemimpin bangsa ini melalui pembelajaran sejarah. Metode yang digunakan adalah literature Review yang terdiri dari lima tahap meliputi: (1) Mendefinisikan ruang lingkup topik yang akan direview, (2) Mengidentifikasi sumber-sumber yang relevan, (3) Mereview literatur, (4) Menulis review dan (5) Mengaplikasikan literatur pada studi yang akan dilakukan. Penulisan ini bertujuan untuk mendeskripsikan pembelajaran sejarah berbasis nilai-nilai Astha Brata sebagai penguatan sikap kepemimpinan siswa SMA. Hasil literature Review menunjukkan bahwa nilai-nilai Astha Brata penting untuk ditanamkan kepada siswa. Berdasarkan hasil literature Review, dapat disimpulkan bahwa pembelajaran sejarah berbasis nilai-nilai Astha Brata berperan penting sebagai penguatan sikap kepemimpinan siswa SMA.</em></p>
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.021 | 0.004 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it