Can common finishing treatments used in chef jacket fabrics improve protection against scald injury?
Bibliographic record
Abstract
Abstract Chefs and other food preparation workers are at a high risk of scald injuries from hot liquids. Chefs’ clothing has the potential to act as a protective barrier between the skin and the thermal hazard. Although, impermeable barriers coupled with an insulating layer of fabric tend to offer the greatest protection against hot liquid penetration, the potential for heat strain and discomfort to workers may make them impractical in the kitchen environment. This study examined the effects of common finishing treatments used in chef jacket fabrics and the impact of layers on the protection offered against hot water burn injuries. The Teflon®treated fabrics offering combined stain and water repellency, provided the greatest protection with the lowest absorbed energy and longest times to second degree burn injury compared with the other finishes (i.e., regular, water repellent and soil release). Findings also showed that in most cases, increasing the number of layers improved protection provided by the fabric systems, with the Teflon®finished fabrics providing the highest protection against scald injuries as fabric layers increased.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.002 | 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".