Running performance and sleep patterns in canadian female university soccer players
Bibliographic record
Abstract
This longitudinal, correlational study aimed to assess running performance and sleep patterns in female University Sports soccer players (N = 12; 19.44 + 1.69 years) in matches played with less than 24 hours of recovery. Global Positioning System (GPSport) was used to assess running performance throughout games during the 2016 season. Pittsburgh Sleep Quality Index was to determine good and bad sleeper’s, while the Core Consensus Sleep Diary was used to determine total sleep time (min), time in bed (min), sleep efficiency (%), sleep onset latency (min), wake after sleep onset (min), number of awakenings (#), and sleep quality. Overall, players had significantly (p < .026) reduced running performance from the first to the second game, while sleep variables were typically significantly decreased after the second match. Our study indicates that coaches can rotate players and sleep hygiene strategies should be implemented to help mitigate any negative effects of disturbed sleep.
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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 | 0.000 | 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) | 0.000 | 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".