The exploitation of public Brazilian airports under private regime: a review of government leased and permit grants
Bibliographic record
Abstract
This paper investigates the regulatory aspects of exploiting Brazilian public airports under private regime. The proposition is that the essential difference between leased and permit grants is the level of regulatory intervention by the Government, which then determines the legal regime to which the airport exploitation is predominantly subject to. The descriptive and exploratory methodology used is based on previous literature on airport exploitation. The results indicate that airports exploited predominantly under private regime, that is, those granted permits, are generally subject to a lighter regulatory intervention than those exploited under public regime, which are granted a lease, hence the level of necessary regulatory intervention is the main criterion for determining which type of grant shall be used for a certain airport. The conclusion also indicates that the level of regulatory intervention to which an airport is subject will depend on the value of use to the collectivity that its operations generate. The optimal granting policy is an ideal combination of types of grants directly related to the diversification of the airport services and the different levels of regulatory intervention that they require.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".