Effects of triceps surae muscle fatigue on intrinsic and reflex contributions to dynamic ankle stiffness
Bibliographic record
Abstract
Muscle fatigue may be defined as any exercise-related reduction in the force-generating capacity of a muscle. Its effect on joint stiffness is not well understood. The purpose of this study was to determine the effect of triceps surae muscle fatigue on the dynamic stiffness of the ankle joint. Pseudorandom binary sequence (PRBS) displacements were applied before, during, and after fatiguing contractions of the triceps surae. Position and torque were recorded and analyzed to identify the intrinsic and reflex contributions to ankle stiffness. Fatigue caused significant changes in both intrinsic and reflex properties. For intrinsic properties, there was a decrease in the elasticity, and an increase in the viscosity of the joint. For reflex properties, there was an increase in the gain and a change in the reflex dynamics. Thus, it appears that, during fatigue, reflex stiffness increases to compensate, at least in part, for decreased intrinsic stiffness.
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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 | 0.002 |
| 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) | 0.002 | 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".