Estudio de los músculos estabilizadores y las lesiones más frecuentes en practicantes de béisbol 5
Bibliographic record
Abstract
Baseball, also called baseball or pelota, is a team sport played between two teams of nine players each. It is considered one of the most popular sports in Australia, Canada, Colombia, Cuba, Dominican Republic, Holland, Italy, Japan, Mexico, Nicaragua, Panama, Puerto Rico, South Korea, South Africa, Taiwan, United States, and Venezuela. The countries considered the powers of this sport are concentrated in America (North, Central and Caribbean) and Asia, with the European and African continents lagging behind. The study allowed evaluating the strength resistance of the stabilizing muscles in 11 baseball 5 players of the "Manuel Fajardo" University of Physical Culture and Sport Sciences. A survey of the most frequent injuries in this sport was carried out. The research was carried out with a non-experimental design of minimal control with pretest-posttest for a single group. The methods used were analytical-synthetic, survey and measurement. The Cron's alpha Cronbach's alpha coefficient was used to obtain the test-retest reliability of the internal consistency of the EVAL-MEB5 instrument. The instrument was applied to the sample in 2 measurements with time intervals of one week. The main results reveal that the most frequent injuries reported in the diagnosis were: pitcher's elbow, pitcher's shoulder, young baseball player's elbow, meniscus degeneration, tendinitis and bursitis. The instrument showed a test-retest reliability of 91 % and therefore presents a good reliability. The strength endurance capacity of the stabilizing muscles in the Supine Ulnar Bridge, Isometric Squat 900 to the wall and Trunk isometric was found to be deficient.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".