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Record W2621388093

Dog breed selection and factors that shape them : a thesis presented in partial fulfilment of the requirements for the degree of Master of Science in Zoology at Massey University, Palmerston North, New Zealand

2016· dissertation· en· W2621388093 on OpenAlex
Tyler J Challand

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

VenueMassey Research Online (Massey University) · 2016
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDegree (music)BreedSelection (genetic algorithm)ZoologyBiologyComputer scienceEcologyPhysicsArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

The aim of this research was to describe human perceptions of dog breeds, New Zealand national dog demographics, and the relationship between aesthetic appeal and physical conformation of dog breeds. Methods included a literature review, a review of New Zealand dog registration data, and a survey of 131 university students from first and third year veterinary science and first year marketing on the relative appeal of unmodified and modified dog images.
\nBy reviewing literature on human preferences towards dog characteristics breeds were selected that would be most likely to generate the ideal positive and ideal negative first impressions. Characteristics were examined by compiling the strongest positive and negative preferences, opinions, and reports. The results indicated that the ideal breed for a positive impression would be a Labrador Retriever of pale or yellow colour. The ideal breed for the negative impression was Rottweiler. The German Shepherd Dog was also notable for creating a negative impression.
\nThis study used datasets from the New Zealand National Dog Database (NZDD) (2013-2014) and New Zealand Kennel Club (NZKC) (2005-2014) to describe the New Zealand dog population. Results highlight a large difference between the two datasets in regards to rankings and reporting. The NZDD and NZKC top 10 ranked purebreds differed in that the NZDD top 10 contained more working breeds that are utilized in livestock farming (e.g. Huntaway). According to the NZDD data, most dogs in New Zealand are purebred (over 65%). The Labrador Retriever was the most commonly registered breed in both datasets. The kennel club data can be used for pedigree dog information but, unlike the NZDD, not national demographic information.
\nThe study also investigated, using a survey with associated image ranking, whether academic programme or year of university study influenced the scoring of different dogs based on their physical appeal. The breeds presented in image sets (original and altered) were Belgian Shepherd (Malinois), Border Collie, Dachshund, French Bulldog, German Shepherd (Alsatian), and Jack Russell Terrier. Neither academic programme nor year of university study influenced scoring of five of the six image sets (all but the French Bulldog). Results from the French Bulldog image set indicated fourth year veterinary science students found the images with less exaggeration more appealing than either first year group. Also female participants preferred less exaggeration compared to male participants. For all six breeds the less exaggerated variants within the set of images were considered more appealing by all participants. These findings indicate that there was a preference among the students surveyed for dogs with physical characteristics that were less exaggerated and potentially less detrimental to the health and welfare of the animal.

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 score0.100
Threshold uncertainty score0.963

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.164
GPT teacher head0.374
Teacher spread0.211 · 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