Interconnections between thermal perception and exercise capacity in the heat
Bibliographic record
Abstract
Some models of exercise regulation suggest that exercise performance, rather than being solely limited by the attainment of fatigue in one or more physiological systems, is modulated by psychological factors. Extrapolating from such models, exercise capacity and voluntary performance during exercise in hot environments may be governed by a complex interplay between the physiological effects of hyperthermia along with psychological input stemming from the conscious perception of the thermal environment. Evidence is emerging for a neuroanatomical basis for peripheral and central thermal receptors to elicit both a distinct physiological response such as shivering or sweating along with being mapped into an overall subjective sensation of homeostasis. Experimental evidence supporting this interactivity includes the demonstration that physiological manipulations, such as an increased fitness, appear to confer an attenuation of thermal discomfort during whole-body exercise despite similar levels of physiological strain. At the same time, psychological interventions have proven effective in decreasing perceived thermal strain and extending exercise performance in hot environments. The purpose of this review was to survey the potential interactions between thermal perception and exercise performance in the heat.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".