The impact of shear force magnitude on cumulative injury load tolerance: a force weighting approach for low-back shear loads
Why this work is in the frame
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Bibliographic record
Abstract
Vertebral joint fatigue life non-linearly decreases with increasing anterior shear force magnitude. Therefore, equal treatment of independent shear force exposures will underestimate low-back injury potential. This investigation developed mathematical functions for deriving appropriate weighting factors (WFs) to be applied in occupational cumulative shear force estimates. Porcine vertebral joints were repetitively loaded in shear to 20%, 40%, 60% or 80% of their calculated shear failure tolerance for 21,600 cycles or until bone failure was detected. Two WF functions were derived from mathematical relationships between sub-maximal shear force magnitude and sustained cumulative shear force to failure. These functions explained 98.2% and 88.6% of the variance in sustained cumulative shear force. Accelerated injury potential represented by WFs greater than unity was assigned to shear forces above 35.6% and 695 N. These weighting approaches will enhance sensitivity in future evaluations between exposure and lost-time/injury for detecting relationships between cumulative shear loading and low-back injury.
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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 | 0.003 | 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 | 0.004 |
| 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