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Record W114951035 · doi:10.4000/articulo.2380

Neoliberal Urbanism and the Assault Against Public Services and Workers in Toronto, 2006-2011

2014· article· en· W114951035 on OpenAlexaffabout
Carlo Fanelli

Bibliographic record

VenueArticulo – revue de sciences humaines · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsSocial Sciences and Humanities Research Council
Fundersnot available
KeywordsAusterityCollective bargainingRetrenchmentRecessionPublic sectorPoliticsRevenueRestructuringTrade unionPublic administrationEconomicsPolitical sciencePolitical economyEconomic growthSociologyLabour economicsEconomyLawFinance

Abstract

fetched live from OpenAlex

This article explores demands for concessions from public sector workers and new pressures to privatize public services at the city of Toronto. Situated in historical perspective, I argue that through the 2009 round of bargaining between the City of Toronto and its civic workers, the City sought to shift the burden of recession onto unionized workers by positing a trade-off between wage restraint and the protection of public services. Rather than retreat from the neoliberal project or present an alternative developmental path in the face of declining revenues, the ‘Third Way progressivism’ of the Miller regime employed the rationale that the recession demanded austerity. In the absence of an alternative political program and engaged membership, Local 79 was unable to counter the drumbeats of austerity and retrenchment. In the subsequent election a new conservative mayor and council vowed to radically restructure the city along increased competitive pressures, with efforts to lower the wages and benefits of its public sector workforce and privatize city services and assets. Indeed, since the 2009 civic workers’ strike, the Ford administration has implemented a number of reforms which has made work more precarious, reduced access to city services and intensified fiscal pressures. In the absence of a collective capacity to resist such attacks, trade union and community activists in Toronto have much to be concerned about.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.572
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.020
GPT teacher head0.215
Teacher spread0.195 · 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 designObservational
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

Citations4
Published2014
Admission routes2
Has abstractyes

Explore more

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