Musculoskeletal disorders and stress in checkout cashiers 2005
Bibliographic record
Abstract
As a complement to an investigation of work movements, the prevalence of musculoskeletal disorders and stress at work was investigated among checkout cashiers in a number of shops belonging to the same company during May 2005. The disorder prevalence was assessed by a NMR-questionnaire form. The stress load was assessed by a stress-energy questionnaire according to Kjellberg and Iwanowski. In addition, questions about stressing factors at work were put. Fifty cashiers from seven shops in a metropolitan area filled in the questionnaire. The cashiers had an average age of 24 years. In spite of this the prevalence of musculoskeletal disorders was quite high. The stress-energy results showed a picture of experienced stress in many subjects but positive energy readings in most subjects. Several operations were experienced as physically straining, especially lifting heavy objects. The behaviour of the customers was the major course for stress. Unfriendly or tardy behaviour, piling up products, complaints about and return of products were mentioned. Bad design or function of the computer system or other technical equipment were other sources of stress. Regarding the interaction with the customers the payment situation was an activity causing irritation. Purpose: To study physical and psychological burden on the cashiers in grocery stores.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".