Effect of simulated training upon the performance of ice field navigation in a lifeboat (phase 2)
Bibliographic record
Abstract
This report describes a systematic study aimed at establishing the validation and accreditation of small craft simulator training as pertaining to Totally Enclosed Motor Propelled Survival Craft (TEMPSC) operation in ice. In other words, the study sets out to examine whether simulation based training can be adopted as a valid and reliable surrogate for standard physical lifeboat training. Full-scale field trials were conducted using a TEMPSC in an ice field at Paddy’s Pond, Newfoundland and Labrador. The objective of the study was to evaluate navigation through the ice field based on variables such as time through course, number of impacts, and nozzle executions. Naïve participants were assigned to groups: group one completed physical training in the classroom and in the TEMPSC in calm water (Standards of Training, Certification, and Watchkeeping, STCW), group two completed the same STCW training complemented by a classroom briefing on ice navigation, and group three completed the classroom briefing on ice navigation along with simulator training (full mission class “S” training simulator). Through a comparison of these groups it was hoped that the simulator-trained participants would perform just as well, or better, than those who underwent the physical training in terms of effectiveness and proficiency in ice field navigation. Overall, the results of this study suggest that simulator-trained participants were more likely to successfully navigate the TEMPSC through the ice field from waypoint to waypoint in comparison to those who received standard STCW training or the STCW training complemented by an ice briefing. Due to a small sample size, relatively large amounts of variance, and frequently changing environmental conditions, significant differences between the groups may have been masked. As such, further research may be required to conclusively validate small craft simulation training for operation in ice-covered waters.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".