STUDI POTENSI KOMPETISI ANTARA PASAR TRADISIONAL DENGAN TOKO MODERN PASCA PERATURAN PRESIDEN (PERPRES) NOMOR 112 TAHUN 2007 DI MADURA
Bibliographic record
Abstract
The presence of Regulation the President No. 112 of 2007 is expected to realize the presence of a modern store that can compete in a healthy and fair with traditional markets. Although it has been mentioned that the establishment of modern stores have to pay attention spatial plan district, does not detract from the fact zoning violations on the establishment of a modern store. The study was based on indepth interviews with informants, traditional markets, modern store merchants, officials in the region Bangkalan, Sampang, Pamekasan, Sumenep.The results of this study can be concluded that the competition between the traditional market with modern stores after the enactment of Regulation the Presidential No.112 of 2007 increasingly stringent, as evidenced by the increasing proliferation of modern stores, especially the mini-sale systems and types of merchandise similar to the traditional markets. The factors that became the driving and inhibiting competition is no regulation and management matters. Efforts are being made in overcoming the constraints of competition through improved physical infrastructure, but have not touched on the professionalism of the management of traditional markets. Key words : competition, traditional market, modern store after the enactment Regulation the President No. 112 of 2007
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".