MONITORING OF DOGS BREEDS AND MONITORING OF OFF-LEASH DOGPARKS IN THE MOKOTÓW DISTRICT IN WARSAW
Bibliographic record
Abstract
The domestic dog (Canis familiaris) is the most popular human companion, also in Poland. Among recognized by FCI dog breeds, there are those that are more popular. In order to meet the needs of owners and their dogs, dog-parks were created. Sometimes they are controversial. The aim of monitoring is to determine the population of dogs in the study area and to evaluate the dogparks and their use by dog owners. 14 places were selected for monitoring in the Mokotów district: 6 dog-parks and 8 parks. The respondents to the survey were dog keepers and owners. A survey was conducted for dog owners in Warsaw and active monitoring of parks, green spaces and dog-park in the Mokotów district. The survey results showed that the most frequently owning type of dog is the Mongrel. The vast majority of respondents declare that they do not use dog-parks. The results of active monitoring of the dog population also showed that the most frequently owned type of dog is the Mongrel. From purebred dogs, sequentially: Yorkshire Terrier, Jack Russell Terrier, Labrador Retriever, next Golden Retriever. Parks for dogs in the Mokotów district are fenced or designated spaces, enriched with equipment that activates caregivers and their pets. 2 of the 6 dog-areas selected for observation have been permanently removed. Both facilities were located in a residential area. Dog-parks are most often used as places for free explorations of dogs, without leash. In most of the observations, no dog-owner activity was observed.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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 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".