Understanding the Awareness of the Importance of Halal Labels to Business Actors Based on Range of Long Business Variations
Why this work is in the frame
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Bibliographic record
Abstract
This study aims to determine the level of understanding of halal certification awareness in small and medium micro business actors. The research conducted is a descriptive analysis of quantitative data to determine information on the interests of halal certificates in the eyes of business actors. By using a questionnaire as an instrument. The sample used was 101 business actors with different lengths of operation. The results showed that presents the high actors who have given halal label on the length effort than or equal to 2 years and less than five years, with a percentage of 64.10%. This shows that most business actors who are very concerned with labeling their products are usually those who have run their business more than or equal to 2 years but less than 5 years.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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