Jumping Test Lower Limb Neuromuscular Characterization in First-level Students from Escuela Militar de Cadetes
Bibliographic record
Abstract
One of the great limitations in applying research involving the military population is that data are taken from other studies that do not reflect the specific characteristics or conditions of Colombian soldiers. Regardless, the outcomes are applied and appropriated as if these soldiers were, in fact, the sample of the study. In response to this situation, this work publishes the results of research involving the physical performance of Colombian military personnel to provide the academic community with descriptions of the variables that make up this population’s physical fitness training. This work is a first attempt to characterize their physical, physiological, and biomechanical capabilities using the best available evidence and state-of-the-art technology. One of this book’s main contributions to military physical training knowledge is that it is the first initiative to evaluate Colombian military personnel’s level of physical training. The scientific rigor of the studies in this compilation allows the reproducibility of the tests (external validity). It paves the way for a series of studies in military physical performance and health-related factors concerning active members of the National Army, seeking to characterize, evaluate, and determine training programs to optimize the institution’s pillars of doctrine. The ultimate goal is to drive the improvement of soldiers’ physical conditions, favoring a better quality of life and safety in operational performance.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| 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; both teacher heads agree on what is shown here.
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".