Bibliographic record
Abstract
It has been suggested that during exhaustive exercise both a central and peripheral mechanism of fatigue exists. Indeed, a central debate in the exercise science literature is the nature of fatigue that determines exercise performance under different conditions (Swart et al., 2009a). Hypoxia, for example, has a small but direct role on the cessation of exercise, specifically during endurance performances (Millet, Aubert, Favier, Busso, & Benoit, 2008; Secher, Seifert, & Van Lieshout, 2008). Numerous studies to date have provided new information related to the factors implicated in short-term high intensity exercise, while more studies of a longer nature (endurance time trials), measuring central and peripheral fatigue factors simultaneously, and under hypoxic conditions, are needed to add additional information to guide our understanding of the mechanisms involved in central and peripheral fatigue. This thesis represents a contribution to the much needed research within this area. Four key papers, separated into four chapters, discuss this research in this thesis. To investigate these effects, an integrative physiological approach was used by including muscle and cerebral oxygenation changes (NIRS), cardiovascular and pulmonary responses and blood biochemistry during cycling exercise in a normoxic and hypoxic environment. The primary inference of this thesis is that in hypoxia the brain is protected and the muscle is in need of a similar oxygenation and extraction to do less work; a finding that contributes to the support of previous speculations in the literature. A secondary inference of this thesis is that a difference in the pattern of oxygenation between continuous and incremental exercise exists; a finding that has not been previously identified in the literature. The findings from this study have therefore furthered our understanding of the nature of fatigue, specifically in endurance exercise under acute hypoxic conditions, and the relationship between the central and peripheral factors associated with fatigue.
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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 | 0.000 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".