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Record W7128325838

Servis Managment of Breeding Sport Dog´s Breeds and Training of Sport Cynology in the Czech Republic and Compared to Worldwide Competition

2020· dissertation· cs· W7128325838 on OpenAlexaboutno aff
Jana HOŘEJŠÍ

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2020
Typedissertation
Languagecs
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCzechSuperpowerTraining (meteorology)Work (physics)Competition (biology)
DOInot available

Abstract

fetched live from OpenAlex

A dog sport and breeding of sport dogs have a long history in the Czech Republic, these dogs were mainly used in K9 servises, military or rescue activities. Dogs bred in Bohemian regions are used all over the world mainly in countries such as the USA, Canada or China. The bachelor's thesis focuses on reason of usage and a way of transportation of these animals over seas. This work compares national breeding and training qualities in competitions-sport side and also working use. The aim of the bachelor thesis is to compare the biggest dog s organisations as FCI or WUSV in the Czech Republic and other countries. The thesis explores facts about the Czech Republic now being a superpower in the field thanks to top results from world championships in the past 3 years. In conclusion, the obtained data are enriched by interviews with people being part of this topic.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.551
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.293
Teacher spread0.277 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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