The Precarity of Pitbull-type Dog Life: A Case Study of Contested Companionship in Montréal, Quebec
Bibliographic record
Abstract
In June 2016, Christiane Vadnais was killed by her neighbour’s neglected dog, Lucifer. Immediately following the incident the City of Montréal ushered in Breed Specific Legislation (BSL) that enlivened an already conflicted debate surrounding pitbull-type dogs. In this thesis I track BSL as a discourse – that is, as it stems from and shapes broader, shifting discursive constructions of pitbull-type dogs – and as it unfolds on-the-ground in Montréal, with profound effects for the lives of those dogs and their guardians. My theoretical approach draws from critical animal geography, legal geography, and extinction studies to approach BSL as an example of how humans discursively construct and materially affect nonhuman animals through processes of domination. My methodological approach is informed by multispecies ethnography and intimate feminist geographies; as such, it is mutually committed to including nonhuman animals as participants and to pushing the boundaries of conventional methodologies, such as by including personal experience. The thesis is broken into two contextual and two analytical chapters. First, I contribute to the ongoing development of multispecies ethnography by detailing my methodological approach and practices. Following this, I situate BSL in the historiography of pitbull-type dogs. In chapters 3 and 4 I explore both the effects and affects of BSL by tracing the law’s performativity. First, I argue BSL is an example of spatial injustice as it denies pitbull-type dogs – and, if applicable, their guardians – access to space. Second, I suggest BSL is a dealer of death through three modes: the physical death (killing), the death of future generations (sterilization), and the death of a relationship (contested companionship) for pitbull-type dogs. The underlying goal of this research project is to re-story pitbull-type dogs as worthy of adoration, love and life.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".