Factors that influence fatigue status in Canadian university swimmers
Bibliographic record
Abstract
The overall purpose of this two-part study was to examine factors that influenced fatigue status in university level swimmers. Participants were 25 swimmers (14 male, 11 female) from one university swim team. A mixed methods approach was used. Quantitative data were collected using an orthostatic heart rate test and self-report questionnaire at multiple time points throughout a competitive season. Qualitative data were collected via focus groups conducted at the end of the season. Analysis of the quantitative data indicated high levels of accumulated physiological and psychological fatigue that improved with increased recovery. Specifically, heart rate indices, form, feeling, and energy level improved during taper periods and worsened during and immediately after intensive training blocks. Analysis of the qualitative data revealed that one factor (flexible structure of training programme) had a positive influence on athletes' fatigue while two factors (teammate expectations and balancing school, work, and sleep) had a negative influence on athletes' fatigue.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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".