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Record W7025027001

Strengthening human-animal relationships using interior design: a holistic approach to animal-care centres

2023· dissertation· en· W7025027001 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2023
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAnimal welfareWelfareHealth careAnimal healthPracticumFocus groupAnimal-assisted therapyAnimal ethics
DOInot available

Abstract

fetched live from OpenAlex

Animal welfare concerns and rapidly increasing animal populations are becoming more prevalent throughout Canada and other parts of the world. Thousands of animals are reported to enter shelters annually, most often as strays, in addition to being relinquished, born in the shelter, or transferred from other facilities. Oftentimes the cost of veterinary care, lack of pet ownership knowledge, and proximity to these resources contribute to whether pets receive veterinary care or have poor welfare. The animal shelter model was designed to combat these concerns and facilitate temporary accommodations for stray and abandoned animals awaiting adoption. However, the current design standards and practices that exist are influenced by human anthropometrics and can often be detrimental to the physical and psychological health of animals living in these environments. This in turn leads to several negative responses including the expression of adverse behaviours (i.e. barking, aggression, fear), prolonged shelter stays and adoptions, and increased euthanasia rates. This practicum will explore the relationship between animal shelter typologies and animal welfare; and how the interior design of these environments influences the well-being of adoptable animals. Additionally, it will address community needs that improve animal welfare long-term by responding to marginalized communities and those without access to affordable veterinary care. This will be accomplished using design strategies that focus on creating an atmosphere conducive to community education, promoting access to healthcare resources, and addressing the needs of domestic animals. These strategies were chosen as an approach to re-envision animal shelter and care typologies to increase the number of animals that become, and remain, adopted. The design project will be situated within the neighbourhood of Inkster Community. Located at 1670 Inkster Boulevard in Winnipeg, Manitoba

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)0.005
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.005
Scholarly communication0.0070.003
Open science0.0030.009
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.092
GPT teacher head0.327
Teacher spread0.235 · 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 designQualitative
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

Citations0
Published2023
Admission routes1
Has abstractyes

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