Bibliographic record
Abstract
Hyperthermia, through either passive exposure or exercise in hot environments, can severely impair exercise capacity, and one primary pathway of impairment may be the neuromuscular system. This is because fatigue or reduced exercise capacity in other physiological systems ultimately terminate in an inability of the muscle to adequately generate the required force to maintain a desired workload. In addition, the functional capacity of the neuromuscular system, from the central activation of the motor unit pool, through neural transmission along the peripheral nervous system, and at the individual muscle fibre, can be directly altered by elevations in local muscle and core temperature. Fatigue is a multi-modal phenomenon, so the purpose of this chapter is to survey the direct effects of heating on neuromuscular function, from the electrophysiology of isolated motor units undergoing stimulation, to isometric and dynamic contractions of isolated muscles, and through to wholebody exercise. A second objective is to briefly summarize the major methods employed by thermal and muscle physiologists to investigate muscle function, and highlight some of the limitations and challenges with current knowledge and technology.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".