Vessel Motions and Work Interruptions Aboard a Fast Rescue Craft
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A set of field trials were carried out aboard a Canadian Coast Guard fast rescue Rigid Hull Inflatable Boat. The vessel was outfitted with a data acquisition system to collect vessel and engine performance data and trialled in three wave conditions (approx. Beaufort 2 to 7). This paper focusses on the methodologies and results for calculating and investigating Motion-Induced Interruptions (MIIs). MIIs due to lateral and longitudinal overbalancing and sliding were investigated using the counting of motion events which are expected to cause an interruption, supported by a statistical analysis and examination of the distribution of the MII data. We conclude that MII assessments of small, light, high-speed craft such as the one studied should include longitudinal acceleration and pitch angle, typically assumed to be non-influential in MII assessments. Statistical treatments have promise for analysis of field-acquired MII data.
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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) | 0.000 | 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 it