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Understanding the behaviour of adopted northern Canadian community dogs through a mixed-methods approach

2025· article· en· W4408734437 on OpenAlexaboutno aff
Danielle A. Sorbie, Andrew S. Cooke, Beth Ventura

Bibliographic record

VenueApplied Animal Behaviour Science · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPet therapyAnimal-assisted therapyHUBzeroPsychologyAnimal welfareVeterinary medicineGeographyMedicineBiologyEcology

Abstract

fetched live from OpenAlex

Northern dogs, including pet, community, and free-roaming dogs (FRDs) from remote northern Canadian communities, are often rehomed to less remote areas as part of population control efforts. This change in environment may restrict dogs’ autonomy and freedom compared to the environment they originated from. This study aimed to investigate the post-adoption behaviour and adjustment of northern dogs using a mixed-methods approach. Data were collected from 357 participants through an 89-item survey distributed via social media and author networks. The survey addressed owner and dog demographics, lifestyle factors, and dog behaviour using a shortened version of the Canine Behaviour and Research Questionnaire (C-BARQ). Additionally, an open-ended question explored owners’ perspectives of their dog’s adjustment to the home. An exploratory factor analysis (EFA) was conducted on the shortened C-BARQ to examine the factor structure. Multiple logistic regressions were used to analyse the influence of lifestyle and demographic parameters on C-BARQ subscale scores. Qualitative content analysis was used to process open-ended responses. The EFA revealed a 13-factor structure, including Stranger-directed aggression, Owner-directed aggression, Dog-directed aggression and fear, Stranger-directed fear, Non-social fear, Touch sensitivity, Separation-related behaviour, Chasing, Escape, Attachment, Excitability, Energy, Trainability and Dog rivalry. Adopted Northern dogs demonstrated high scores for Chasing, Energy, and Attachment, with influencing factors including age at adoption, access to other dogs, and household size. Content analysis identified key themes related to the adjustment process and factors influencing it. Overall, a substantial portion of owners reported that Northern dogs displayed behaviour problems post-adoption, which may stem from dogs experiencing frustration, related to a lack of control over their new environments and a misalignment with their previous reality. This study highlights the importance of understanding and fulfilling the unique social, physical and cognitive needs of Northern dogs to ensure a smoother adjustment process post-adoption. • 357 owners were surveyed to understand the adjustment and behaviour of Northern dogs’ post-adoption. • High prevalence of behaviour problems: 93.84 % of northern dog owners reported at least one behaviour problem post-adoption. • Key behaviours noted: Northern dogs had high C-BARQ scores for chasing, energy and attachment. • Factors influencing behaviour: Dog age at adoption, access to other dogs and household size impacted behaviour. • Role of frustration: Frustration may be playing a role in Northern dogs’ transition from free roaming to a more restricted lifestyle due to a loss of autonomy, highlighting the importance of fulfilling the social, physical, and cognitive needs of Northern dogs.

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)0.027
metaresearch head score (Gemma)0.019
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.477
Threshold uncertainty score0.959

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.004
Science and technology studies0.0050.002
Scholarly communication0.0030.002
Open science0.0030.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.075
GPT teacher head0.385
Teacher spread0.309 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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