Content aspects of vocational and applied physical training of future law enforcement officers by means of health fitness
Bibliographic record
Abstract
The article examines the use of the CrossFit system as a means of health fitness training in vocational and applied physical training of future law enforcement officers. It was found that CrossFit training complexes should be designed taking into account the level of physical fitness of cadets and must be included in the content of physical training classes for law enforcement officers. CrossFit develops in a balanced way all the components of physical fitness of an individual including cardio-respiratory endurance, performance, strength, flexibility, speed, power, coordination, accuracy, balance, and agility. An experimental program based on cross-fit exercises was presented, which consisted of five blocks. It was pointed out that vocational and applied physical training of law enforcement officers (military officers, firefighters, and officers of various law enforcement agencies) in the United States, Canada, Europe is carried out using health fitness training, in particular the CrossFit system.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| 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".