An Examination of Shoulder Postures and Moments of Force Among Different Skill Levels in the Wool Harvesting Industry
Bibliographic record
Abstract
The wool harvesting industry employs workers of varying skill levels that differ in both quality and number of harvested fleeces. As it was unknown how skill affected parameters such as joint posture and loading, the current study comparatively examined 140 wool harvesting workers representing 4 skill levels during wool harvesting competitions. Three-dimensional upper limb postures and peak and cumulative shoulder moments were calculated for each worker. Results indicated that elite wool harvesters, in general, used different shoulder postures to perform the harvesting tasks and were thus exposed to different shoulder moments as compared to the lower skill levels. It is plausible that these adopted postures allow the higher class workers to perform their job with higher quality and greater speed as compared to the lower ranked workers. Posturalbased training may help improve technique in lower ranked workers and enable these workers to achieve higher ranked status.
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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".