Effects of additional weight in posture-movement adaptations to repetitive arm motion-induced fatigue
Bibliographic record
Abstract
The aim of this Master's study was to quantify the effect of adding weight to the trunk on posture-movement adaptations in healthy young adults during repetitive arm motion-induced fatigue. Whole- body kinematic, kinetic and electromyographic (EMG) data were recorded during a repetitive pointing task (RPT) in normal conditions and with a 20% body weight extra load. The first and last minutes of the RPT were analyzed for both sessions. Results show that the RPT was effective in inducing muscular fatigue in three of the four upper limb muscles investigated. Other results of this study confirm the ability of the body system to adapt to fatigue in different postural conditions. A few different adaptations to fatigue were selected by the system in the added weight condition to contribute to the performance of the task and reach a similar time to fatigue as in normal condition. Results suggest that adaptations to fatigue in the extra weight condition could aim at ensuring postural stability by maintaining the body's center of mass stable, in addition to reducing the load of the fatigued musculature.
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 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 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".