Uneven Walking Momentum Regulation Exhibit Different Strategies based on Age and State of Lookahead
Bibliographic record
Abstract
Abstract Uneven terrains enforce challenges to continuously regulate the step parameters. Since forward momentum contributes materially to the walking balance, its step-to-step regulation plays an important role to traverse terrain complexities. Here, we exhibited that young and older adults’ modulation were affected by the state of lookahead. With a normal lookahead, they demonstrated anticipatory control. The young adults encountered terrain irregularities similar to step-up mounting and dismounting in which the total mechanical work was minimum. On the other hand, the older adults might have put more emphasis on foot placement instead, as they slowed down before the encounters. Additionally, their control was extended beyond of young adults. On the other hand, with the restricted lookahead, the control was based on feedback. Since young and older adults’ momentum regulations were very similar, it also supported suggestions that older adults might inherently rely on feedback to control their gait.
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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 | 0.001 |
| 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".