MINIMALNI NIVO ZAŠTITE PUTNIKA U VAZDUŠNOM SAOBRAĆAJU - REŠENJA EVROPSKE REGULATIVE I DOMAĆEG ZAKONODAVSTVA
Bibliographic record
Abstract
This paper analyses the legal mechanisms which guarantee minimum rights to air passengers in case they are denied boarding against their will, their flight is cancelled or delayed. In case of breach of contracts of carriage by air, passenger rights are protected by law as special rights (minimum rights) and comprise the right to information, reimbursement, re-routing, care and indemnification. This study examines the existing regulation from the Law on obligations and the basics of property relations in air transport, which reflects the stipulations of the Montreal Convention (1999) and the Regulation 261/2004 of the European Parliament and of the Council establishing common rules on compensation and assistance to passengers in the event of denied boarding and of cancellation or long delay of flights, and repealing Regulation (EEC) No 259/91. The Regulation defines minimum passenger rights protection and is part of our positive air transportation legislation. Although this is a significant step towards unifying the legal regulation and creating a common mechanism for protecting air passenger rights, we suggest that it also poses a serious challenge for air carriers: how will they meet all the demands of the modern air transportation market, and fully inform the passengers on their special rights and ways to exercise these in certain situations.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".