Integration of PAI Materials Based on Local Wisdom: A Study of the Potential Based on the Region
Bibliographic record
Abstract
The focus of this research is to understand the importance of developing local content-based PAI curriculum in certain areas in West Kalimantan and its potential. This research uses the literature review method. Namely, by collecting scientific sources relevant to the topic of discussion, both journals, books, other writings published through the website. After that, an in-depth analysis is carried out, which then gets a conclusion. The results of the study show that the PAI curriculum can be integrated into local content. The goal is to provide students with an understanding of where they live and the advantages of the area. The West Kalimantan region that has the potential for PAI curriculum development can be divided into four, namely; first, the coastal region consisting of Sambas, Singkawang, and Ketapang. Second, the inland area consisting of Sintang, Sekadau, Landak, and border areas Aruk. Third, agricultural areas consisting of Sambas, Kubu Raya, Landak, Bengkayang and others. Fourth, conflict-prone areas consisting of Sambas, and Landak.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".