Understanding Passenger Ship Evacuation Through Full-Scale Human Performance Trials
Bibliographic record
Abstract
IMO MSC circular 1033 [1] outlines the guidelines for evacuation analyses of new and existing passenger ships. This requirement coupled with recent advancements in computer technology has lead to the development of sophisticated computer-based simulation of the evacuation process on passenger ships. In order for these simulation tools to provide accurate and useful results, it is imperative they use realistic data for passenger movement throughout the evacuation process. However, due to the nature of ship abandonment, quantifying human performance in actual abandonment situations is very difficult. For this reason, simulation inputs must rely on results of controlled, well-defined experiments. This paper outlines experiments conducted to quantify human performance during abandonment using a variety of life saving appliances for ambulatory and non-ambulatory individuals wearing personal floatation apparatus. Evacuation analysis using commercially available software with these data is also presented as it relates to improving ship design for evacuation of non-ambulatory persons.
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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 | 0.000 | 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) | 0.002 | 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 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".