FORECASTING EFEK PEMBANGUNAN DRY PORT TERHADAP PERTUMBUHAN PRODUK DOMESTIK REGIONAL BRUTO: STUDI KASUS SULAWESI SELATAN
Bibliographic record
Abstract
The economic feasibility of a project is typically measured by the increase in the value of GRDP achieved as a result of the project's generation effect. Especially in the case of transportation infrastructure projects involving a large amount of goods movement or logistics. This is closely related to an increase in a region's economic activity. Ease of access, as well as the availability of adequate transportation and infrastructure, can reduce logistics costs and thus lower the price of goods in circulation. As a result, the effect of dry port development in Sidrap and Jeneponto Regencies, South Sulawesi, on regional economic growth is projected in this article. Forecasting economic growth is based on and refers to the increase in the existing GRDP value as a result of the Dry Port construction. Knowing the impact of development on GRDP allows the project's economic feasibility to be tested and considered in the future. In this case, the Dry Port construction in two sites is feasible based on the GRDP growth.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".