Motivations of Paying Zakat on Income: Evidence from Malaysia
Why this work is in the frame
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Bibliographic record
Abstract
Zakat on income is one of the emerging issues among Syariah scholars where they might have varying opinions regarding it. The aim of this paper is to identify factors that may influence the Muslims behaviour towards zakat on income. Academicians from three faculties in the International Islamic University Malaysia (IIUM) were used as sample in this study. They were sent self-developed questionnaires requiring them to indicate their level of agreement on certain factors which might influence them in paying zakat on income. Based on the mean ranking of those who pay zakat, the findings suggest that social, religious and economic factors prevail over the other relatively ‘self-centered’ factors. This study concludes by suggesting that there is a need for proper education on zakat which may eventually help the Ummah to benefit from the noble system of zakat.
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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 | 0.000 | 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 | 0.001 |
| 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 it