Pre-Eminent Curriculum in Islamic Basic School Integrated Comparative Studies in Islamic Basic School Integrated Al-Izzah Serang and Al-Hanif Cilegon, Banten, Indonesia
Bibliographic record
Abstract
Compare to General SD (Primary school), the superiority of SD Islam Terpadu (Integrated Islamic Primary School) lies on the development of the curriculum and learning that is more emphasize on integrated curriculum and integrated learning. Curriculum model applied in Sekolah Dasar Islam Terpadu (SDIT) is integrated curriculum. This curriculum is being applied by creating the synergy among national curriculum of education (ministry of education), religious curriculum (Al-Islam), and local content curriculum by using full day school system. The result of this research shows that: the concept of SDIT (Islamic integrated primary school) relies on the stakeholders, who hold the education, and self-development curriculum that relies on the needs of SDIT al-Izzah plus adjustment curriculum which relies on Islamic integrated primary school networks. The concept of curriculum which is applied in SDIT al Hanif combines three curriculums namely: the ministry of education and culture, ministry of religious affairs and the stakeholders’ curriculum.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".