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Record W3210503483

Toronto’s Tent Encampments: Excavating Northwestern Informalities and State Ambiguities

2021· article· en· W3210503483 on OpenAlexaboutno aff
Allison Evans

Bibliographic record

VenueYork University Digital Library (York University) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Cultural Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsState (computer science)GeographyHistoryArchaeologyComputer science
DOInot available

Abstract

fetched live from OpenAlex

This Major Paper examines the ambiguities of municipal state regulation in relation to the dwelling practices of Toronto’s unhoused and the difficulties navigating urban space by marginalized publics in the context of two overlapping crises: an affordable housing crisis and a public health emergency. This paper argues tent encampments are a persistent mode of urban informality in the global northwest, where tents and other small structures provide a source of housing when faced with limited access and affordability. Throughout the pandemic, tent encampments proliferated across the City of Toronto, an increase linked to the heightened risk of COVID-19 transmission within congregate emergency shelters. However, tent encampments are not a novel occurrence and typically occupy the ‘interstitial' spaces of the city. Using the case study of Toronto, the analysis investigates how urban informality is (co)produced and (co)mediated in and through the state and civil society. The findings suggest the local state—at times ambiguous and negotiated relative to an array of civil society actors, property relations, and desirable formalities—routinely enforces encampment clearances on public property and influences encampment demolitions on private property. The paper explores alternative conceptualizations of tent encampments before proposing an urbanism of empathy aimed at centring those at the forefront of the discussion: unhoused people experiencing homelessness in Toronto.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.737
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.004
Open science0.0000.001
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 head0.014
GPT teacher head0.178
Teacher spread0.164 · 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 teacher head, not a consensus.

Study designNot applicable
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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