Assessment of the functional movement screen and injuries in gymnasts
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objective: To identify possible differences in movement quality through the functional movement screen (FMS) between injured and non-injured adolescent acrobatic gymnasts in the last season. Method: descriptive, comparative, cross-sectional study involving 20 adolescent female gymnasts divided into two groups, one composed of 9 gymnasts who had suffered an injury in the last season (14,7±1,56) and the other composed of 11 gymnasts who had not suffered any injury (13,9±2,25). The FMS battery was used, consisting of seven tests: deep squat, hurdle step, in-line lunge, shoulder mobility, active straight leg raise, trunk stability in push-ups, trunk rotational stability. Results: Of the nine gymnasts who had sustained an injury, 66.6% were located in the lower limb, ankles and knees. The results of the total functional assessment of FMS using the Mann Whitney U statistic for independent samples showed no statistically significant differences between groups (Z = -.393; p > 0.05), with the average range of FMS being similar in both cases (10.05 and 11.06 in injured and non-injured gymnasts respectively). It also showed the absence of significant differences in each of the tests of the battery, and no relationship was found through Spearman’s R statistic, between the overall FMS score and the group of injured gymnasts. Conclusion: The results of the FMS total score were slightly higher in gymnasts who were not injured last season, as well as slightly better in all the lower body tests, hence the FMS can be used as a preventive programmed to detect possible deficiencies.
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.
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 | 0.001 | 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) | 0.000 | 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 it