Training of dogs of the Police of the Czech Republic, intended for guns and ammunition search, and their utilization for protection of citizens
Bibliographic record
Abstract
This thesis describes the basic breeds of work dogs presently used by the Police of the Czech Republic, divides the dogs by their character and psychologic features, and processes the current literature and regulations relating to work dogs training. The thesis summarizes the data collected from 8 Regional Directorates of the Police of the Czech Republic regarding the number of casas when the work dogs were utilized in practice in 2007, 2008 and up to the 3rd quarter of 2009. All the stated information has been processed in the thesis with the aim to elaborate a methodology of training of work dogs intended for guns and ammunition search, and to set the standards for assesment of suitability of individual dogs for training for guns and ammunition search, and for their subsequent utilization in practice. The obtained data were used in the thesis for elaboration of the methodology of work dogs training for guns and ammunition search. While elaborating the methodology it was ascertained thatdespite the existing universal training methodology each dog requires an individual approach with due regard to its physical and mental characteristics. The thesis also includes setting the standards for assesment of suitability of individual dogs for traning for guns and ammunition search, and for their subsequent utilization in practice. This thesis may be used in practice as a methodology of work dogs training for guns and ammunition search in training centres of the Police of the Czech Republic and in individual Special Cynology Groups of the Police of the Czech Republic, and subsequent utilization of trained dogs in practice for protection of citizens.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 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".