Integrasi pandangan semesta al-Qur'an & sains tabi'i: satu model bagi sekolah menengah Islam
Bibliographic record
Abstract
Rentetan sejarah Islam, modern dan pasca-modern menyaksikan impak sains dan telnologi terhadap kemanusiaan. Cabaran modernisma dan pasca-modernism melahirkan “Sekolah-sekolah Islam Berintegrasi” di seluruh dunia Islam – suatu fenomena global. Tetapi APAKAH Pendidikan SAINS yg BERINTEGRASI secara ISLAMI? Pada tahun 2010-2013, kami melawat sekolah-sekolah menengah Islam di Malaysia (12), Indonesia (12), Selatan Thailand (5), Brunei, Singapura, Mindanao & Ontario, dimana kami membuat pemerhatian dan wawancara bersama guru-guru, ahli lembaga, ibu-bapa & pelajar. Analisa kualitatif bahan-bahan mata pelajaran sains (Sains, Biologi, Kimia dan Fisik) yang digunakan, yaitu sekitar 80 dokumen kurikula dan silabus, lebih 100 buku teks, serta laman-laman web dan blog-blog rasmi, menunjukkan TIADA PEMADUAN SEBENAR di dalam kurikulum, silabus, buku teks dan pemngajaran dan pembelajaran sains. Dengan itu, penerangan ini memperincikan mengapa perlu sebuah model Qur'ani untuk pengajaran dan pembelajaran sains tabi'i di sekolah menengah, serta memperkenalkan model tersebut.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.003 |
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".