R-Class icebreaker propeller open water experiments
Bibliographic record
Abstract
In October 2002, propeller open water tests were performed using Memorial University's Opens Boat. The purpose of these experiments was to validate the creditability of the Opens Boat. The necessity of these experiments arose after several tests were performed using the MUN equipment that produced questionable results with regard to the torque values. The problems that were addressed during the testing procedure were: removal of an inner bearing in the Opens Boat to rectify the torque inconsistencies; a constant monitoring and recalibration of the shaft speed due to voltage variations during testing; and a temporary water seal on the Opens Boat to inhibit water ingress into the Open Boat during high carriage speed test runs. Once the problems with the Opens Boat were rectified, the results from the experiment were validated by comparison with tests performed earlier in Ottawa. Therefore, it is recommended that the Opens Boat should be utilized for future open water experiments. Other recommendations were also stated to ensure that the Opens Boat data would not be spoiled by other problems that may creep into the system. Some of these recommendations include: a replacement of the Data Acquisition System with a more reliable system that would include no exposed wires; a permanent sealant on all non-watertight joins; and a cover for the dynamometer.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".