Estimation of load transfer force to the hands during sagittal plane box lifting
Why this work is in the frame
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Bibliographic record
Abstract
Load transfer force to the hands was investigated to provide an accurate estimate of load transfer during sagittal lifting tasks for application in an industrial setting. The effects of gender, load mass, lift style, load transfer duration and participant strength were examined as possible variables to improve the estimation of load transfer force. Ten healthy men and eleven healthy women completed a total of 25 box lifts using a freestyle technique. Kinematic data were collected using the OPTOTRAK™ and a portable video camera. Measured load transfer force (MLTF) was determined as the total load weight minus measured values from a force plate. Five methods of estimating load transfer to the hands were calculated and compared with MLTF. The enhanced load transfer force method (ELTF) of estimating load transfer to the hands was superior to all other estimation methods.
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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 it