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Record W2787487663 · doi:10.5281/zenodo.5576736

The "Paris Problem" in Toronto: The State, Space, and the Political Fear of "The Immigrant"

2017· dissertation· en· W2787487663 on OpenAlex
Parastou Saberi Zafarghandi

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueYorkSpace (York University) · 2017
Typedissertation
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsIdeologyPoliticsImmigrationGentrificationSociologyPolitical scienceNeighbourhood (mathematics)Urban politicsPolitical economyGender studiesEconomic growthLaw

Abstract

fetched live from OpenAlex

The Paris Problem in Toronto addresses contemporary debates on place-based urban policies in the immigrant neighbourhoods of Western metropolitan centers. Taking the ideologically constructed figure of the immigrant seriously, I emphasize the need to examine the relational formation of urban and imperial policies and politics of intervention. Focusing on Toronto (Canada), a city celebrated for its diversity management and tolerance, the central thesis of this dissertation is that the material force of the ruling classes political fear of non-White working-class populations and neighbourhoods is central to the formation of place-based urban strategies. This political fear feeds upon a territorialized and racialized security ideology that conceives of non-White working-class spaces as potential spaces of insecurity, political disorder and violence. It is based on this security ideology and its link to race riots that the Paris problem has become a common reference point in policy circles in Toronto since 2005. I show how this territorialized and racialized security ideology is camouflaged within a liberal humanitarian ideology that renders non-White working-class spaces as spaces simultaneously in need of securitization and tutelage. Such a rendition parallels the perceptions of ungoverned spaces in the war on terror. I examine major place-based social development policies (Priority Neighbourhoods, Toronto Strong Neighbourhood Strategy 2020), place-based housing redevelopment policy (Tower Renewal), and national and urban policing strategies, providing the first comprehensive socio-historical analysis of place-based urban policy targeting non-White poverty in Toronto that began in the 1990s. I have traced the ideological formation and transformation of major policy techniques like mapping and policy concepts such as: poverty, security, policing, development, empowerment, social determinants of health, equity and prevention across various scales and temporalities. Instead of eradicating or reducing poverty, the goal of such policies is to constitute a liberal post-colonial poor, one who is eminently less threatening to the political stability of imperialist capitalism. My research shows that the state can mobilize place-based policy as a modality of neo-colonial pacification. Not reducible to a product of neoliberalization, such a policy recomposes colonial relations of domination by moderating violence and pacifying perceived threats to the existing order.

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.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.890
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.006
GPT teacher head0.239
Teacher spread0.233 · 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