The Prospect of Turboprop Commercial Flight in Indonesia
Bibliographic record
Abstract
The transportation between remote cities and different islands in Indonesia needs to be served by aviation. One possibility to connect cities with short distance is by using small aircraft, such as the turboprop aircraft. However, the feasibility of such aircraft should be examined due to its huge investment and profitability. This study tries to determine the route network of turboprop aircraft in Indonesia using Ryerson and Ge’s approach (2014) by examining spatial trends for short-haul aviation and on the regional jet routes. The possibility of turboprop flight on the regional jet routes could be assessed by a distance-based and fuel-time trade-off with three scenarios of fuel price. To validate the potential network of turboprop aircraft, binary logit model predict the probability that a route is fit served by a turboprop. This study shows that more than half of the current regional jet routes in Indonesia can be operated by turboprop aircraft. However, the route which farther than its range capability should be operated with regional jet.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 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".