A study on the preparation of standards for the safety of domestic amphibious ships
Bibliographic record
Abstract
In order to revitalize tourism, there are frequent attempts to introduce amphibious ships in the Republic of Korea. Overseas, amphibious ships are commercialized in the United States, United Kingdom, Australia, Singapore, Canada, etc. Safety cannot be verified in the Republic of Korea due to insufficient systems related to the inspection of amphibious ships. Therefore, in order to secure the safety of amphibious ships, this study presented standards for safe operation through investigations of domestic and foreign amphibious ships operating status and system status, and analysis of accidents related to domestic and foreign amphibious ships. This study proposed the provincial sea area, weather conditions, stability criteria, acquisition system of the number of boarding people, location of water ingress, and inspection period; however, a quantitative review of these criteria is suggested as a future research direction. If the amphibious ship safety implementations are achieved and can be commercialized through this study and further research, it is expected to vitalize the local economy by attracting tourists.
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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 | 0.006 | 0.015 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".