Bibliographic record
Abstract
This bachelor's thesis titled "Horse Polo and Horse Training Plan for this discipline" delves into the complex issue of horse polo. This thesis was created using professional literature. The first part is devoted to the history, development, and current state of polo in the world and the Czech Republic. The work summarizes the basic rules and principles of the game. The thesis also covers appropriate horse breeds for polo, their breeding, and concerns regarding injuries. The Argentinian Polo Pony is considered the most suitable breed, but other breeds such as the English Thoroughbred and the Quarter Horse can also be considered. An important aspect of this research is the economic side of acquiring and managing a polo horse in the Czech Republic and Argentina, which includes the balance sheet. The findings reveal that the total annual costs including purchasing a horse are CZK 835,082 in the Czech Republic and CZK 567,935 in Argentina. The final section of the thesis focuses on the training and education of polo horses. This part was based on the experience gained from an internship abroad in Argentina. Generally, it is crucial to start working with young foals and gradually prepare them to be ridden under the saddle, which typically starts at three years of age. The complete training plan is presented in the last chapter of this work.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.077 | 0.029 |
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".