Bibliographic record
Abstract
Artikel ini bertujuan untuk mengkaji tentang nilai-nilai pendidikan karakter yang terkandung dalam teks al-Barzanji. Metode yang digunakan adalah dokumentasi yakni menelaah dokumen tertulis, baik primer maupun sekunder. Analisis atas data diawali dengan mereduksi data untuk mendapatkan informasi yang lebih fokus pada persoalan yang dijawab, kemudian dideskripsikan secara naratif kemudian dianalisis dan disimpulkan. Hasil penelitian menujukkan bahwa nilai-nilai pendidikan akhlak yang terkandung dalam kitab al-Barzanji karya Syaikh Ja’far al-Barzanji adalah sebagai berikut: a) Akhlak dalam pergaulan, b) Akhlak terhadap anak, c) Akhlak kepada Allah swt., d) Akhlak kepada orang tua, e) Akhlak terhadap profesi, f) Akhlak untuk selalu bermusyawarah, g) Akhlak terhadap orang yang telah mendholimi, h) Akhlak terhadap keluarga, i) Akhlak terhadap orang lemah, j) Akhlak dalam kemarahan, k) Akhlak dalam kesederhanaan
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 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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.098 | 0.028 |
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".