The Assistance Model of the Baitul Mal in Promoting The Community of Home Industry
Bibliographic record
Abstract
Baitul Mal as an institution for collecting and distributing zakat, infaq, and shadakah among Muslims, has not yet developed community economic programs, especially home industries. Although the community economic development program has been implemented, the assistance model provided so far has not been able to provide increased income for the community. This article responds to the view that Baitul Mal in carrying out its programs is only consumptive in nature and has not been able to develop productive programs related to the community's economy by providing venture capital for home industry players. This qualitative research in finding a model of Baitul Mal assistance was done through observation, interviews, and documentation. The data obtained is used to strengthen the research objectives in supporting the assistance model for the assistance of Baitul Mal Aceh. This study found that the Baitul Mal Aceh program was more dominant in the field of consumptive zakat, while the assistance model of Baitul Mal assistance in the form of productive zakat had not been able to provide maximum results for the economic development of the community, especially in the home industry sector. So in the future, there needs to be an improvement, as an initial solution in introducing the Baitul Mal Aceh assistance model to the community.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".