A Study on Systematic Management of Civilian Forces for Efficient Search and Rescue Mission in the Ocean
Bibliographic record
Abstract
In this study, I researched, analysed and compared the examples of civilian maritime search and rescue auxiliaries of world leading countries` such as Japan and America, and the Korean volunteer fire fighting team. Through this, I suggest that the decentralized civilian maritime search and rescue forces of Maritime Rescue and Salvage Association and KCG Civilian Auxiliary should be united into unified search and rescue system and establish legal basis for stabilized support and development. It seem that we should organize laws and regulations for the government to have centralized control of rescue mission as in the cases of America and Canada and elivate rescue mission capability with systemized education and training entrusted to specialized external training organization. I proposed to establish financial support such as fund for the stabilized status of civilian auxiliary, domestic and overseas training session for the civilian auxiliary to inspire integrity and sense of duty as a part of maritime search and rescue forces.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".