Bibliographic record
Abstract
Abstract On 25th of January 2018 Civil and Military Aeronautical Rescue Coordination Centre (ARCC) commenced operations in Polish Air Navigation Services Agency (PANSA). PANSA increased significantly its contribution in the domain of coordination of search and rescue activities in ASAR service in the Polish area of responsibility. Up to this date all tasks of ARCC Centre were conducted mainly by Armed Forces of Republic of Poland, which performed coordination function in ASAR (Aeronautical Search and Rescue) service. The bodies responsible were Aeronautical Search And Rescue Centre located in Air Operations Centre – Air Component Headquarter in Warsaw and sub-centre in Gdynia, part of Naval Operations Centre of Naval Component Headquarter. According to international commitments resulting mainly from Convention on International Civil Aviation signed on 7th of December 1944 in Chicago and ratified by Poland together with Annex 12 “Search And Rescue”, Poland committed to establish aeronautical search and rescue service called ASAR within Polish region and to assure its operation. ASAR service is the only service in Poland for rescue purposes and is designated to search and rescue of aircraft in distress, provision of help for aircraft crews and passengers and other victims of aeronautical accidents (regardless to nationality of these aircraft and persons). ASAR service tasks include search of designated area to find location of aircraft and victims of aeronautical accidents, determination of their status and commencement of rescue actions at the location using dedicated forces and measures as well as forces and measures of another systems, mainly from State Medical Rescue, National Firefighting and Rescue System and Maritime Search and Rescue Service. ASAR service consists of: a)commanding element – Civil-Military Aeronautical Rescue and Coordination Centre, b)executive elements – Aeronautical Search and Rescue Teams (LZPR), and c)supporting elements – alerting points (air traffic services units operating in the framework of alerting service).
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".