PERAN WALI SONGO DALAM MENYEBARKAN AGAMA ISLAM DI INDONESIA
Bibliographic record
Abstract
The spread of Islam to the archipelago started with merchants who wanted to trade in the archipelago. In pre-Wali Songo, precisely in the 12-13th century, the system of spreading Islam was by the da'wah method, with various multi-beliefs and cultures in society, so that the significance of belief in Islam amid society was marked by the emergence of new kingdoms, namely Islamic kingdoms with strength and followers with large numbers, then non-Islamic kingdoms at that time decreased in strength due to the proportion that became a minority. The method used in this study is a descriptive qualitative research method with a literature study approach that refers to several research data sources and data collection techniques in the form of wali songo studies. The focus of the research that will be raised is the role of the Wali Songo in spreading Islam in Indonesia. The data collection technique used in this study was the library research method, namely library research and the data analysis technique used in this study was a descriptive method. In spreading the teachings of Islam, Wali Songo has several strategies that can be accepted by the community by infiltrating local wisdom in Indonesia.
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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 | 0.000 | 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 | 0.002 | 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) | 0.011 | 0.002 |
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".