Establishing thermal comfort: characterization of selected performance and physical properties of fabrics used in hospital operating room uniforms
Bibliographic record
Abstract
The purpose of this research was to characterize selected thermal properties of clothing fabrics available to operating room (OR) workers at the University of Alberta Hospital and to relate the thermal properties to fabric structural characteristics. In this study, we measured the thermal resistance and air permeability of fabrics obtained from surgical gowns, scrubs and warm-up jackets currently in use in ORs in a specific hospital. The results showed that the fabrics from which the surgical gowns were made provide the highest thermal insulation with lowest air permeability, while the warm-up jackets’ fabrics had the greatest air permeability with low thermal insulation values. The clothing options available to workers in the OR fall well below the predicted clothing insulation values for thermal comfort. For workers in the OR, such as anaesthesiologists, who are predominantly sedentary throughout their work shift, the lack of thermally insulating clothing options has consequences for their overall thermal comfort. This study comprises part of a larger ongoing study investigating improving the OR workers thermal comfort through clothing.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".