Skenario Peningkatan Pertumbuhan Ekonomi Berbasis Tingkat Pengeluaran Wisatawan di Provinsi Nusa Tenggara Barat (Pendekatan Sistem Dinamis)
Bibliographic record
Abstract
The tourism sector is one of the most important sectors in enhancing economic growth, as it has a significant multiplier effect on various other economic activities. Tourist expenditures serve as a key indicator of the tourism sector's impact on society. These expenditures contribute significantly to local income sources and regional economic growth. Therefore, this research aims to formulate an economic growth scenario model based on tourist expenditure levels in West Nusa Tenggara Province (NTB). A dynamic system analysis method is employed to comprehensively examine all related variables and their interdependencies. This study produces an optimal scenario involves implementing policies to increase tourist visits, as this not only directly affects economic growth but also influences tourists' length of stay and total expenditure.
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How this classification was reachedexpand
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".