Emergency evacuation in Arctic environments
Bibliographic record
Abstract
The objective of the investigation will be to determine and evaluate potential problems of evacuating an emergency life craft from a marine vessel or structure that is operating in a cold (Arctic) environment. All data will be obtained through a literature search and will not include actual model tests. However, this report could be used as a point of reference for the construction of a model and/or full-scale field test programs.The scope of the work shall include launching of a lifeboat or survival craft in a cold environment into an ice flow, and navigating the life saving craft from the danger zone with a degree of ice coverage.The evacuation systems to be investigated are Davit Launch, Totally Enclosed Motor Propelled Survival Craft (TEMPSC) system, Free Fall System with (TEMPSC), Inflatable life rafts evacuation system, and Specialized Cold Environment Systems. There are a number of other evacuation systems presently being used and under development. However, to analyze all systems as they relate to operation in a cold environment is beyond the scope of this report. Investigation of other systems would be done at a later date upon further project development. Instead this report concentrates on the three main types of evacuation systems as well as a number of cold environment systems presently under development.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".