Constrained optimization of metabolic cost in human hopping
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Bibliographic record
Abstract
New Findings What is the central question of this study? This study evaluates whether constrained optimization of metabolic cost (minimization of metabolic cost within the limitations imposed by constraints) predicts movement selection during vertical human hopping. What is the main finding and its importance? Constrained optimization of metabolic cost/height largely predicts movement selection during hopping in frequency‐, height‐ and speed‐constrained conditions. However, subjects sometimes compromise between minimizing metabolic cost/height and maintaining a comfortably sustainable metabolic cost/time. This illustrates how an internal, physiological constraint can interact with external, physical constraints to produce a given behaviour. The principle of constrained optimization may also be applied to understanding how the man‐made environment affects movement selection and energy expenditure in modern urban life. Constrained optimization of metabolic cost/distance travelled largely predicts the gait parameters selected by humans during walking and running. This study evaluates whether this is also the case for human hopping. Hop frequency ( f ), height ( h ) and metabolic energy expenditure were measured in partly constrained ( f , h or hop speed, s ≡ fh , specified), fully constrained (both f and h specified) and unconstrained conditions (neither f nor h specified) for 4 min trials. Hop frequency and height were also measured in frequency‐constrained ( f specified), fully constrained (maximal height and f specified) and unconstrained conditions for 15 s trials. Metabolic cost surfaces were constructed from experimental data from the 4 min trials, and the least costly behaviour for each constraint was calculated. Subjects selected the same height–frequency pattern for all three partly constrained conditions because the metabolic cost/height surface for hopping was a slope with no observed minimum. The heights selected for the 15 s frequency‐constrained trials were only slightly lower than maximal, the optimal behaviour predicted by constrained optimization of metabolic cost/height. This supports the hypothesis that constrained optimization of metabolic cost largely predicts movement selection during hopping. However, subjects often chose noticeably lower than optimal heights and higher than optimal frequencies during partly constrained and unconstrained conditions for the 4 min trials. It appears that they selected heights and frequencies that incurred a slightly greater metabolic cost/height in order to reduce metabolic cost/time to a level they could comfortably sustain for 4 min.
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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) | 0.001 | 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 it