In at the deep end: the physiological challenges associated with artistic swimming
Bibliographic record
Abstract
Artistic swimming • Autonomic conflict • Exercise • SyncopeArtistic (synchronized) swimming is an Olympic sport that combines skills of swimming, dance, weightlifting, cheerleading, and gymnastics.In competition, athletes are required to perform routines comprised of elaborate movements in the water, synchronized to music, which last from 2 to 5 min [1].These require athletes to perform sustained vigorous exercise with intermittent prolonged breath-holds that can cumulatively account for 50% or more of their entire routine [2].By combining breath-holding with near-maximal physical output, artistic swimming provides a significant and unique physiological stress.The specific nature of this stress is poorly understood, in part due to the challenge of making physiological measurements underwater, methodological inconsistencies across investigations conducted to date [3][4][5][6][7], and the rapid evolution of the sport's complexity and difficulty since it was introduced into the Olympic program in 1984 [3].The complex physiological paradigm of artistic swimming is further compounded by the simultaneous provocation of conflicting sympathetic "fight and flight" and parasympathetic "rest and digest" responses, with * V.
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 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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.012 | 0.011 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".