Assessing motion stress levels on board fishing vessels of the Newfoundland fleet
Bibliographic record
Abstract
The aim of this study is to develop a numerical tool that could be used to assess the physical stress levels associated with the vessel motions on board fishing vessels of the Newfoundland fleet. A number of full-scale sea trials of typical fishing vessels of the fleet are underway to validate the numerical tool. Model experiments are expected to follow in the next year. If desirable correlations between the trials and the numerical results are obtained, simulations will be performed to obtain typical 'motion stress' profiles of various fishing boats over a typical fishing season. 'Motion Stress' will be quantified in terms of a parameter known as 'Motion Induced Interrupt' frequency (MII). Other parameters that can quantify the motion stress levels can also be incorporated into the numerical tool. Among them would be seasickness criteria and another postural stability index, which relates the motion levels on board to the 'motion stress'. -- For full-scale trials, two vessels will be used initially. In terms of their sizes, these represent one of the smallest vessels and one of the larger vessels of the fleet. During the trials a directional wave buoy was used to measure the wave characteristics. -- The Thesis will include the results from the full-scale sea trials and the numerical tool. Additionally, some sample results for motion stress levels will be presented.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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 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".