Equipment Designed to Simulate Proprioceptive Neuromuscular Facilitation Flexibility Training
Bibliographic record
Abstract
The purpose of this study was to compare 2 methods of delivering the same proprioceptive neuromuscular facilitation (PNF) flexibility exercise protocol: one manual and the other machine. Thirty-six college students (18 male and 18 female), between 18 and 25 years of age, were randomly assigned to 1 of 3 groups: manual, machine, or control. The manual group used techniques described in Scientific Stretching for Sport (3S), while the machine group used 2 pieces of exercise equipment designed to simulate PNF training principles. Subjects in the training groups exercised their low back and hamstring musculature 5 days per week for 3 consecutive weeks. Pretest and posttest measurements consisted of 4 different flexibility tasks and were taken on days 1 and 15, respectively. The results were analyzed for comparisons of group and gender differences in performance scores. Both training groups had significant (p < 0.05) improvements in all measures. The machine group had significantly greater increases than the manual group on trunk flexion and right hip flexion. Females had significantly greater improvements than males for trunk flexion. Despite many similarities between the 2 training methods, there were numerous beneficial aspects associated with the use of the flexibility exercise equipment.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".