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Record W6989508666

The behaviour and welfare of pet dogs in suburban backyards

2016· other· en· W6989508666 on OpenAlexaboutno aff

Bibliographic record

VenueMinerva Access (University of Melbourne) · 2016
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsAnimal welfareWelfareAnimal-assisted therapyPet therapyHUBzeroObservational study
DOInot available

Abstract

fetched live from OpenAlex

Most pet dogs in Australia are confined to their owners' property in a suburban backyard. Despite the literature on the effect of captive environments on both farm and zoo animals, there is little information on the effects of confining pet dogs. The prevalence of behavioural problem in pet dogs may be an indication that dogs are not well adapted to some backyard environments. The aim of the research in this thesis was to examine the effect of being confined in backyards on dog behaviour and welfare. The research was in four parts. Firstly, a survey of 203 households with dogs across suburban Melbourne provided an overview of how dogs are housed in suburban Melbourne and owners' reports of the behaviours observed in their dogs. It also provided an insight into some of the relationships between factors that make up the backyard environment and reported dog behaviour. Factors that were related to the occurrence of problem behaviours included being a first time dog owner, the amount of time spent with the dog and how well the dog obeyed commands. Secondly, an observational study was carried out on 55 Labrador Retrievers in various backyard settings. The behaviour of the dogs was recorded for 48 hours and the social and physical environment of the dogs quantified. Time budgets of dog behaviour were developed and relationships between behaviour and environmental factors examined. Factors positively related to dog activity included the amount of foliage in the yard, the number of transitions the dog made between locations and the dog being housed indoors at night but with provision of a kennel. Factors positively related to problem behaviours in the dogs included; gold colouring with no formal training, activity of the dog being and the number of transitions by the dog between locations in the backyard. Thirdly, validation of non-invasive measurements of stress physiology and immunology was carried out. The measures tested were saliva cortisol concentrations, saliva IgA concentrations and blood pressure. These measures were validated using groups of Kelpies and Labrador Retrievers housed in kennels. Both saliva cortisol and saliva IgA were found to be practical measures to use in a backyard situation but blood pressure measurement was impractical. Fourthly, saliva samples were collected from half of the Labrador Retriever dogs studied in the backyards. The relationships between stress physiology (cortisol), immunology (IgA), behaviour and environmental factors were then examined. No relationship was found between saliva cortisol and saliva IgA concentrations and no relationships were found between saliva cortisol concentration and any behaviours or environmental variables. However, there was a negative relationship between saliva IgA concentration and the amount of time dogs showed problem behaviour and also between saliva IgA concentrations and whether the dogs had training. These relationships, between the occurrence of problem behaviours and lower IgA concentrations, suggest that the immunocompetence of these dogs may have been compromised. Using the homeostasis definition of welfare, this reduction in immunocompetence suggests there may be a welfare risk to dogs showing these problem behaviours. Using the data from the second and fourth studies, a model was developed to illustrate the interrelationships between factors in the backyard, dog behaviour and immunological response. The factors that increased dog activity were having more than 1% of the yard covered with foliage, the dog being kept inside at night and also having a kennel outside, the owner thinking that the dog obeyed commands and the number of transitions (changes of location) that a dog made. This activity in turn was related to the time dogs spent on problem behaviours such as digging and chewing. It is suggested that it is the type of relationship with the owner that affects dog behaviour rather than factors such as size of the yard, having another dog present or time spent with the dog.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.248
Teacher spread0.234 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2016
Admission routes1
Has abstractyes

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