The Public Knowledge and Custom with the Inheritance Division According to Islamic Law
Why this work is in the frame
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Bibliographic record
Abstract
<p class="a"><span lang="IN">The purpose of this reseach is to determine Public Knowledge and Custom Toward The Division of Inheritance According to Islamic Law in </span><span lang="EN-US">Banjarsari Village,</span><span lang="IN">District of Cipocok Jaya, Serang City, Banten, Indonesia</span><span lang="EN-US">which in terms of </span><span lang="IN">respondents </span><span lang="EN-US">demographics is gender respondents. The</span><span lang="IN">research</span><span lang="EN-US">was conducted using a quantitative approach with descriptive and inferential methods, inferential methods using correlation analysis, T-test, and multiple regression analysis.</span><span lang="IN">The research data c</span><span lang="EN-US">ollecti</span><span lang="IN">on is using </span><span lang="EN-US">instrument</span><span lang="IN">question</span><span lang="EN-US">with Likert scale questions. The objects in this research are the people whom are around the </span><span lang="IN">Village</span><span lang="EN-US">Office Banjarsari, District Cipocok Jaya</span><span lang="IN">, </span><span lang="EN-US">Serang</span><span lang="IN">City, </span><span lang="EN-US">Banten</span><span lang="IN">, Indonesia</span><span lang="EN-US">. Based on t</span><span lang="EN-US">he results of research noted that general knowledge and customary inheritance in the community has the highest value it found a relationship between common knowledge and customary with inheritance division according to Islam. For that need the continuous efforts of the relevant parties (scholars, community leaders, and government) to provide insight and guidance as well as a clear idea of the inheritance division based on the teachings of the Islamic religion.</span></p>
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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 | 0.001 |
| Science and technology studies | 0.011 | 0.005 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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 it