Assessing Motion Stress Levels on Board of 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 of 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 near future. If desirable correlations between the trials, model tests 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. This paper presents the preliminary results obtained so far. Sea trials for a 35’ fishing vessel was conducted. Sample results presented in the paper. Motion Induced Interruption (MII), which will be used to assess the physical stress levels has been implemented into the numerical tool and few case studies performed for the 35’ fishing vessel. Results obtained so far seem promising.
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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) | 0.000 | 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".