ASEAN SINGLE AVIATION MARKET AND INDONESIA - WILL IT SURVIVE AGAINST THE GIANTS?
Bibliographic record
Abstract
Indonesia's demand for air transport is higher in proportion to its GDP per capita. Its economy can be expected to grow 6% to 10% annually. A single aviation market could add another 6% to 10% growth in sheer demand. Yet its airports are badly in need of expansion, its infrastructure is bursting at its seems, and above all, its airlines are strongly resisting liberalization of air transport in the region for fear of being wiped out by stronger contenders in the region. Against this backdrop, it is incontrovertible that Indonesia's civil aviation is intrinsically linked to regional and global considerations. A single aviation market in the ASEAN region will bring both benefits to Indonesia and challengers to its air transport sector. This article discusses the economic and regulatory challenges that Indonesia faces with the coming into effect of the ASEAN Single Aviation market in 2015.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".