Measuring Physiological and Biomechanical Responses to Cold and Icy Conditions: Preliminary Findings
Bibliographic record
Abstract
Studies conducted in countries all over the world have linked winter climate to increased risks of morbidity and mortality. However, researchers have yet to understand the overall effect of the winter climate including consequences of such factors as surface conditions on the human body. The main objectives of this project were to develop a portable ambulatory system for data collection in cold climates and use it to observe physiological and biomechanical effects of cold temperatures and icy surfaces. Furthermore, a laboratory-based experiment was designed in order to obtain datasets on 11 young and healthy subjects. Participants were observed in a cold chamber walking at a comfortable pace in three test conditions: (1) on ice with a safety harness, and on a rough surface while (2) wearing a harness, and (3) without a harness. The ambulatory monitoring system was used to simultaneously record blood pressure, heart rate, skin temperature, muscle activity, gait parameters and foot pressure, and subjective responses were used to derive a comprehensive understanding of the body's responses. Preliminary findings of this study include results which indicate that heart rate is significantly elevated prior to traversal over ice and blood pressure rises significantly within ten minutes of exposure to cold are also presented.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".