Alteraciones músculo-esqueléticas en el separador de ropa húmeda y organización del trabajo de una lavandería hospitalaria
Bibliographic record
Abstract
This study was conducted in response to a request received from the health and safety committee of a hospital in Montreal, Canada. The objective of the study was to identify the causes of problem related to health and work organization identified by "wet laundry separators". The laundry service at this hospital is important because, in addition to servicing the hospital itself, it balances its bubget by offering laundry services to other hospitals. Approximately 57% of the laundry handled in this service comes from 6 outside hospitals, with the balance coming from the hospital itself. At the time of the study, the possibility existed that the laundry service would have to close, to allow for reorganization and collapsing of hospital services in Quebec, Canada. The hospital director was interested in preventing musculoskeletal disorders in a cost-effective manner. Work organization was one of the variables causally associated with musculoskeletal disorders, in addition to environmental conditions and use of certain materials in the laundry area. After this intervention was completed, recommendation were made and some of these were implemented. These improvements resulted in a marked increase in worker productivity and satisfaction. Two months after implementing the intervention, the hospital administration and health and safety committee proposed a second intervention. In this second phase, there were two objectives: 1) to develop and implement a worker training program for new hires in the laundry service; and 2) to participate in negotiations with the Health Corporation of Montreal and avoid the closing of the hospital laundry. Both objetive were achieved.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".