Frequency weighting of hand-transmitted vibration for evaluating comfort
Bibliographic record
Abstract
A suitable frequency-weighting curve for comfort evaluation with regard to hand-arm vibration using the category judgment method was established. A shaker with a power amplifier and signal processing unit were used in the experiments. The subjects were exposed to vertical vibrations before being asked to choose a numerical category to indicate their best perceived level of comfort during each stimulus. The experiments were preformed with twelve healthy non-smoker subjects, six males and six females, with mean ages of 23.2 and 24.5 years, respectively. The results show that the category judgment method establishes the relationship between the frequency-weighted r.m.s acceleration according to the frequency weighting curves. From the results for r.m.s. errors it is found that the most suitable frequency-weighting curves for evaluating hand-arm vibration comfort are WhH-b, Wh, and WhP-W.
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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 | 0.001 |
| 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".