Characterizing Fabrics in Firefighters’ Protective Clothing: Hot Water Immersion with Compression
Why this work is in the frame
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Bibliographic record
Abstract
This study characterized fabrics used in firefighters’ protective clothing based on their response to thermal exposure using hot water immersion with compression. The thermal protective performance of compressed fabrics possessing different physical properties was evaluated based on thermal energy transmission under laboratory-simulated hot water immersion. Primarily, mass (hot water) transfer and conductive heat transfer occurred. Different fabric constructions and properties affected mass and heat transfer, affecting the thermal protective performance of the test fabrics. Fabrics including a moisture barrier possessed higher thermal protective performance than fabrics including no moisture barrier, even though the former fabrics had lower thermal resistance values. The position of the moisture barrier affected mass transfer through the fabric. Air-impermeable, heavy, and/or thicker fabric displayed higher thermal resistance and protective performance.
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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 | 0.004 | 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 | 0.001 |
| 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 it