Identification of the Suitability of Facilities and Infrastructure of Allu Traditional Market Based on Indonesian National Standard of Traditional Market
Bibliographic record
Abstract
Allu Market is one of the markets in Bangkala District which has a strategic location because it is on the jeneponto-takalar axis road. Based on the results of pre-research conducted by the Allu Traditional Market in Bangkala District, Jeneponto Regency, there are still limited facilities and infrastructure that cause the influence on consumer or public interest in visiting the market to be reduced so that researchers are interested in researching the suitability of the Allu Traditional Market Facilities and Infrastructure Based on the People's Market SNI. The research method used uses descriptive-qualitative analysis method. The results showed that it can be concluded that the level of conformity of Allu Market facilities and infrastructure with SNI 8152: 2015 standards reached 44.11%, while those that were not suitable were 55.88%. This shows that the facilities and infrastructure in Allu Market are still classified as not suitable.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".