The Immediate Effects of Tai Chi via a Video Platform Delivery on the Postural Stability of Healthy Young Adults
Bibliographic record
Abstract
Tai chi is effective for improving the postural stability of older adults, but the effects on healthy young adults has yet to be investigated. Currently, the use of virtual delivery platforms for various exercise prescriptions to patients has had to be quickly introduced related to the onset of the COVID-19 pandemic and physical distancing requirements. This study attempted to explore the pre-/post-test measures of postural stability from 15 healthy young adult participants under eyes open (EO) and eyes closed (EC) and firm/foam surface conditions after learning a battery of tai chi exercises and forms delivered by instructional video. Center of pressure-based measures of mean sway velocity (MSV) and 95% elliptical sway area (EA) were assessed. Three-way ANOVAs were conducted to determine if MSV and EA were significantly different across the eye conditions, surface conditions, and time. Both EA and MSV were found to significantly increase from EO to EC on a foam surface; however, only MSV under EC conditions was found to decrease significantly following the intervention.
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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 | 0.002 | 0.001 |
| 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".