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Record W7017514624

Beasts in the Garden City: animals, humans, and settlement on Canada's west coast

2021· dissertation· en· W7017514624 on OpenAlexaboutno aff

Bibliographic record

VenueUVic’s Research and Learning Repository (University of Victoria) · 2021
Typedissertation
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousSubsistence agricultureColonialismScrutinySettlement (finance)PopulationGold coastHuman settlement
DOInot available

Abstract

fetched live from OpenAlex

This thesis examines the numerous roles that nonhumans (and especially livestock) played in the creation, maintenance, and reproduction of settler space in the colonial city of Victoria, British Columbia, and details the gradual processes by which city space paradoxically became designated as such through the selective removal of animal life over the turn of the twentieth century. I use extensive archival material, newspaper coverage, and secondary analysis to explore the varied roles nonhumans played in the establishment of settler society, and investigate the ways that animals were paradoxically fundamental and antithetical to modernizing and industrializing settler space across nearly a century of urban history. In the earliest days of colonial settlement, when Victoria was established as a fur-trading post and depot for the Hudson’s Bay Company’s Columbia Department, animals played crucial dispossessive roles in forcibly reorganizing Indigenous territory and establishing settler space, and were indeed vital to the broader British colonizing project. As the city experienced dramatic demographic growth and tightening urban space across two gold rushes in the mid-nineteenth century, Victoria’s livestock faced increased scrutiny from legislators and citizens through the application of the common law category of “public nuisance.” Urban subsistence strategies such as pig-keeping and free-range grazing began to encroach on settler property and offend nascent middle-class ratepayers as the city grew in population and density, causing a selective process of removal, even as some livestock (such as milk-producing cattle) remained vital to many of the city’s households. Yet new understandings of disease transmission and sanitation sparked the gradual removal of domestic milch cows from Victoria’s backyards and lots, as medical scrutiny began to view the city’s dairy supply as a potential vector for the spread of the “White Plague,” bovine tuberculosis. The resulting consolidation of privately-owned and co-operative dairies would largely spell the end to urban livestock husbandry in the city, relocating nonhuman bodies out of sight and out of mind. Meanwhile, the extension of a cattle frontier into the mainland Interior Plateau continued a process of dispossession instigated on Lekwungen territories in Victoria, inflicting devastation on grassland ecologies and Indigenous livelihoods in the arid interior of British Columbia, while the injection of outside capital and advances in transportation, retail and supply chain infrastructure placed consumers at a greater and greater spatial and conceptual divide from the animals with whom they had formerly shared their urban spaces.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score0.561

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0280.008
Scholarly communication0.0070.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.000

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 head0.029
GPT teacher head0.310
Teacher spread0.281 · 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
Published2021
Admission routes1
Has abstractyes

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