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Record W6996063627

“Public” Space for Whom? Encampment Evictions, Spatio-Legal Exclusion, and Differentiated Urban Citizenships in Toronto

2022· other· en· W6996063627 on OpenAlexaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2022
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsEvictionContext (archaeology)Public spaceCitizenshipDowntownNarrativeSpace (punctuation)UrbanismMeaning (existential)
DOInot available

Abstract

fetched live from OpenAlex

In the summer of 2021, Toronto police executed violent raids, brutalizing vulnerated encampment residents and their supporters in three downtown public parks. During these evictions, state violence manifested in displacement and police brutality, including the use of force and intimidation tactics such as kettling. In response to the public relations fallout that ensued, the City changed course in October 2021, issuing Suspension Notices to encampment leaders that barred them from public space and public services. These tactics constitute a form of legally-imposed spatial exclusion (Beckett and Herbet, 2010), subjugating a vulnerated group to additional precarity, uncertainty, displacement, and violence. Forbidding unhoused people from accessing and using public space produces an acutely unequal and exclusionary city. In light of this, questions of differentiated urban citizenship, the meaning of “public” in public space, the processes by which individuals are made illegal, and the narratives and discourses embedded in the aforementioned become acutely pertinent. \nThis portfolio of work is an exploration of the encampment eviction tactics pursued by the City of Toronto in the summer and fall of 2021 in the context of spatio-legal displacement and exclusion, carceral urban governance, and differentiated and propertied urban citizenship. The first section of the portfolio is an article that identifies the implications that the City’s eviction tactics have on questions of urban citizenship and the reconfiguration of spatial governance in Toronto. Utilizing a socio-legal approach and a mixed-methods qualitative research design, the article investigates how and why legal processes of spatial exclusion are mobilized against unhoused people, and how those processes produce differentiated access to urban citizenship and rights. \nThe second section employs arts-based methods to complicate the City’s narratives surrounding the encampment evictions. Using erasure poetry and abecedarian poetry, two municipal press briefings are intentionally reworked to transform their meaning or effect, elucidating the constructedness and instability of narrative. The experimental and site-specific poetic explorations raise questions of erasure, public memory, and the right to narrate (Bhabha, 2014). \nThe final section is a critical discourse analysis (Fairclough, 1992, 2003, 2010), identifying the dominant narratives about encampment evictions constructed in mainstream media articles and municipal press briefings. The analysis elucidates how discourses of governance, order, and citizenship are mobilized to justify displacement and minimize state violence, while constructing unhoused people as undeserving non-citizens. In an antiparallel corollary, counter-narratives identified from advocate public statements and internal municipal documents relating to the planning of encampment evictions reveal what is erased by hegemonic narratives. \nThis work contributes to socio-legal literatures on propertied urban citizenship and permanent displaceability, offering new insights on the arbitrary and informal processes of illegalization that exclude unhoused dwellers from public space in cities of the Global North and the narratives used to justify them.

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 score0.055
Threshold uncertainty score0.399

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0130.014
Scholarly communication0.0060.002
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.016
GPT teacher head0.175
Teacher spread0.159 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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