The Influence of Familiarity on Life Jacket Donning Performance: Implications for Participant Selection
Bibliographic record
Abstract
Laboratories and test houses keep a "pool" of test subjects that volunteer to be participants in life jacket approval testing, which is believed to be an incorrect procedure. Fifty-six participants donned 8 child/infant life jackets onto 4 infant manikins in random order with time and accuracy of donning recorded. Average donning time for all 8 life jackets decreased significantly after the first donning experience. The findings show that the effect of familiarity occurs immediately after the first test, regardless of life jacket type, thus "contaminating" the subject and making them unsuitable for further tests. These observations are important for life jacket standards where the life jacket must be donned by a naïve participant. Currently, a poorly designed life jacket may receive a pass as a result of the learning effect as shown by participants with previous donning experiences.
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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 | 0.000 |
| 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".