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Neoliberalism, Contingency and Urban Policy: The Case of Social Housing in Ontario

2006· article· en· W2085575424 on OpenAlexaffabout
Jason Hackworth, ABIGAIL MORIAH

Bibliographic record

VenueInternational Journal of Urban and Regional Research · 2006
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNeoliberalism (international relations)Ideal typeContradictionIdeologySociologyCognitive dissonancePolitical economyIdeal (ethics)ContingencyCriticismPoliticsPolitical scienceSocial scienceLawEpistemologySocial psychology

Abstract

fetched live from OpenAlex

Abstract Various authors have argued that common understandings of neoliberalism are flawed because they do not adequately account for its geographical contingency or internal contradictions. Many have suggested that neoliberalism is either too internally riven with contradiction to be considered a singular consistent project, or that its implementation is so locally contingent that we cannot plausibly speak of one ideal‐type placeless ideology. Primarily based on interviews with over half of the municipal housing providers in Ontario, this article explores the extent to which the meta‐ideas of neoliberalism are filtered and manifest (or not) locally. Social policy has been neoliberalized in Ontario at least since the advent of the ‘common sense revolution’ in 1995, when a Tory government was elected on a platform of neoliberal reform. The experience of social housing in the province, before, after and during the transition offers a useful window into the debate about the dissonance (or lack thereof) between ideal‐type and contingent neoliberalism. Based on this case, we argue that, despite its obvious conceptual flaws, it is politically and analytically important to understand ideal‐type neoliberalism better.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.787
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.074
GPT teacher head0.314
Teacher spread0.240 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations159
Published2006
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal of Urban and Regional ResearchSame topicHousing, Finance, and NeoliberalismFrench-language works237,207