Clarification of Potential Risks in the Evacuation Process of Ships to Reduce the Risk of Maritime - NATECH
Bibliographic record
Abstract
The successful voyages of the phinisi Nusantara, from historical crossings to Singapore and Malaysia during the Nusantara Kingdoms to late 20th-century expeditions to Vancouver, Madagascar, Australia, and Japan, highlight the exceptional skills of Tanjung Bira seafarers. This study explores the mastery of these sailors, known as Pa'lopian, in navigating the phinisi vessels. Conducted in Bira Village, South Sulawesi, Indonesia the research employs a constructivist framework using case studies and phenomenological analysis, with data gathered through observation, interviews, and documentation. The findings reveal that the seafarers’ expertise lies in their ability to integrate knowledge of winds, currents, and waves for safe navigation. The study advocates for preserving this traditional maritime knowledge by establishing a Community University to support its transmission, especially in the context of maritime tourism. Integrating these indigenous practices into modern educational systems is crucial for their survival and relevance.
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".