Strategic management of aviation safety in the conditions of sustainable development of the global economy
Bibliographic record
Abstract
1. Aviation safety management system. Document 9859. 4th ed. / International Organization of Civil Aviation. Montreal, 2018. 21 8p. \n2. Bugayko D.O., Paweska M. Strategic approaches to information management in the aviation security system. Jurisprudence in the modern information space: materials of the IX International science and practice conf. (Kyiv, March 1, 2019): in 2 volumes. Kyiv: NAU, 2019. Vol. 2. P. 44-45. \n3. Kharazishvili, Y., Bugayko, D., Lyashenko, V., Sokolovskiy, V., & Baranov, V. (2021, November). Strategizing for sustainable development of transport systems in the safety dimension. In IOP Conference Series: Earth and Environmental Science (Vol. 915, No. 1, p. 012025). IOP Publishing. \n4. Dmytro, B Bugayko., Yuliya, Ierkovska., Fariz, Aliev., & Mariiav Bahrii.. The concept of national integrated risk management of aviation transport of Ukraine. Intellectualization of logistics and Supply Chain Management, (10), 6-18. \n5. Bo, W., Bugayko, D. A., & Grigorak, M. Y. Assessment of the national economy through the application of logistics costs. Economic Thought, (3), 68-82. \n6. Bugayko D., Kharazishvili Yu., Antonova A., Zamiar Z. Identification of Air Transport Ecological Component Level in the Context of Ensuring Sustainable Development of the National Economy. Intellectualization of Logistics and Supply Chain Management: the electronic scientific and practical journal. 2020. No. 3. October. P. 38-53. URL: https://smart-scm.org/wp-content/uploads/3_20_titul_j_full.pdf.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".