Waste Bank-Socio-Economic Empowerment Nexus in Indonesia: The Stance of Maqasid al-Shariʻah
Bibliographic record
Abstract
With the rapid increase of waste throughout the country, the government of Indonesia has enacted regulations targeting waste reduction using religious sentiment. This is employed in Malang City’s “Waste Bank of Malang” (WBM). This study aims to analyze the impact of waste banks on socio-economic progress, and to assess their efficacy in accomplishing this objective from the Maqasid al-Shariʻah perspective. The research employs a descriptive qualitative approach and uses both primary and secondary data sources. This study found that the operation of WBM contributes considerably to the community’s economic and social well-being. Likewise, the WBM has successfully managed waste by reducing, reusing, and recycling it as it is collected from customers. The customers receive financial incentives from the waste bank in return for providing recycled waste to a specialized firm under a profit-sharing (PLS) contract. As per the findings of the study, the rationale of the waste bank aligns with the Maqasid al-Shariʻah and the Islamic finance contract of PLS arrangements.
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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 | 0.003 | 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 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".