A survey of the main behavioural and natatorial issues observed in non-genetically selected dog breeds trained for water rescue activities
Bibliographic record
Abstract
: In this survey, we collected information on non-genetically selected pure breed dogs trained for water rescue considering the issues highlighted by the instructors of the Italian School of Water Rescue Dogs (S.I.C.S.) in Italy over a one-year period. A questionnaire was developed and emailed to thirteen S.I.C.S. sections asking for information on the number of certificates and services carried out in one year, the pure breed dogs used, and the main problems detected in each breed. Only six questionnaires were received and processed. The results revealed that a total of 82 (14.0 as average value) dog-human dyads with certificates with a total number of 157 (26.17 as average value) services recorded in one summer All sections reported certified dogs from three genetically selected breeds (Newfoundland, Labrador, and Golden Retriever), mixed-breed dogs, and other pure-breed dogs, such as Bernese Mountain Dog, Doberman, Pitbull, German Shepherd, and American Staffordshire Terrier dogs. The main problems highlighted in non-genetically selected pure breed dogs were natatorial, linked to an incorrect set-up or to a lack of tail and/or undercoat. To solve these problems, neoprene underwear and/or floating harnesses were used, and the instructors tried to improve the swimming attitude.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".