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Household hostilities: A descriptive study of inter-dog aggression requiring veterinary treatment of dog bite wounds in Pretoria, South Africa

2025· article· en· W4414243419 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueApplied Animal Behaviour Science · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicRabies epidemiology and control
Canadian institutionsnot available
Fundersnot available
KeywordsDog biteAnimal-assisted therapyHUBzeroContext (archaeology)AggressionPet therapy

Abstract

fetched live from OpenAlex

Inter-dog aggression (IDA) places a high burden on the dogs involved, their owners and their households. Treating dog bite wounds (DBW) accounts for a substantial proportion of small animal veterinary practice caseload. This study aimed to identify potential risk factors of IDA in dogs presented for the treatment of DBW at a veterinary teaching hospital in Pretoria, South Africa. Veterinary staff completed a survey regarding wound severity, distribution, treatment, and outcome of 126 dogs treated for DBW. A separate, but related survey was completed by 124 owners of dogs presenting for DBW, describing the fighting event, dogs involved, and the household context where these fighting dogs lived. Control household data was collected from surveys completed by 71 owners of dogs being treated for alternative conditions, where no household dogs had been treated for DBW by a veterinarian. Most fighting between dogs occurred on the owner’s property (85.4%) and between household dogs (68.5%). From the 83 household pairs where the sex and sterilisation status were known, fighting was more common between dogs of the same sex (71%) and sterilisation status (53%). Fighting pairs were most frequently both intact male (25%) or both sterilised female dogs (16%). Compared to control households, dog bite households kept on average significantly more dogs (4.14 compared to 3.44 dogs, p = 0.029) and significantly more male intact dogs (1.04 compared to 0.66 dogs, (p = 0.043). Breeds over-represented in dog bite households were Boerboels (p = 0.043), German Shepherd dogs (p = 0.034) and Pitbull Terriers (p = 0.002) compared to control household. Breeds under-represented in dog bite households were Dachshunds (p = 0.046), Labrador Retrievers (p = 0.026), Miniature Poodles (p = 0.016) and Schnauzers (p = 0.032) compared to control households. Few biting incidents occurred during supervised walks (4%), which differs substantially from previous studies, which reported that most fights between dogs occured in public spaces involving unleashed dogs. Based on our study findings, the following locally relevant IDA prevention measures are indicated: limiting the number of household dogs to three or fewer, reducing the number of male intact dogs, mixing sexes, and avoiding Boerboels, German Shepherds and Pitbull Terriers breeds in multidog households.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.389
Threshold uncertainty score0.744

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.048
GPT teacher head0.302
Teacher spread0.253 · 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